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LICENSE ADDED
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+ JHU Research Software License Agreement - No For-Profit - No Redistribution
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+
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+ This license agreement ("License") is effective automatically between you, a non-profit academic or non-profit research institution ("Licensee"), and The Johns Hopkins University (“JHU”) for use of the software with which this License is distributed (“Software”) so long as Licensee complies with the following terms and conditions:
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+
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+ The requirement to acknowledge the copyright of JHU as follows: “© The Johns Hopkins University” and copyrights of any incorporated third-party software as described in the associated documentation.
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+
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+ Use in source and binary forms, with or without modification, is permitted provided that the source code must retain the above copyright notice and these terms and conditions.
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+
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+ Neither the name of JHU nor its affiliates may be used to endorse or promote products derived from this Software without specific prior written permission from an authorized JHU representative.
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+
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+ THIS SOFTWARE IS PROVIDED BY JHU "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL JHU BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. LICENSEE AGREES TO DEFEND, INDEMNIFY AND HOLD HARMLESS JHU FOR ANY CLAIMS ARISING FROM LICENSEE’S USE OF THE SOFTWARE TO THE FULLEST EXTENT PERMITTED BY LAW.
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+
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+ Only a non-exclusive, nontransferable, non-sublicensable license is granted to Licensee to use the Software for non-commercial, non-profit purposes. Commercial use of the Software, including research use by for-profit entities, requires a separately executed written license agreement.
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+
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+ Licensee agrees that it will use the Software, and any modifications, improvements, or derivatives of the Software that the Licensee may create (collectively, "Improvements") solely for non-commercial, non-profit purposes and shall not distribute or transfer the Software or Improvements to any third-party. Licensee agrees that any Improvements made by Licensee shall be subject to the same terms and conditions as the Software.
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+
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+ Licensee acknowledges that JHU holds copyright in the Software or portions of the Software, and that the Software may incorporate third-party software which may be subject to additional terms and conditions. Licensee shall comply with any additional terms and conditions appliable to such third-party software.
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+
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+ Licensee agrees that any publication of results obtained with the Software will acknowledge its use by an appropriate citation.
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+
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+ Licensee’s rights under this License terminate automatically without notice from JHU if Licensee fails to comply with any term(s) of this License.
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+
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+ This License shall be governed by the laws of the State of Maryland, excluding the application of its conflicts of law rules. Licensee agrees that any dispute shall be appropriate only in the state and federal courts located within the State of Maryland.
level/Level1.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 1 Telencephalon_L
2
+ 2 Telencephalon_R
3
+ 3 Diencephalon_L
4
+ 4 Diencephalon_R
5
+ 5 Mesencephalon
6
+ 6 Metencephalon
7
+ 7 Myelencephalon
8
+ 8 CSF
level/Level2.txt ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 1 CerebralCortex_L
2
+ 2 CerebralCortex_R
3
+ 3 CerebralNucli_L
4
+ 4 CerebralNucli_R
5
+ 5 Thalamus_L
6
+ 6 Thalamus_R
7
+ 7 BasalForebrain_L
8
+ 8 BasalForebrain_R
9
+ 9 Mesencephalon_L
10
+ 10 Mesencephalon_R
11
+ 11 Metencephalon_R
12
+ 12 Metencephalon_L
13
+ 13 Myelencephalon_L
14
+ 14 Myelencephalon_R
15
+ 15 WhiteMatter_L
16
+ 16 WhiteMatter_R
17
+ 17 Ventricle
18
+ 18 Sulcus_L
19
+ 19 Sulcus_R
20
+ 20 ECS
level/Level3.txt ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 1 Frontal_L
2
+ 2 Frontal_R
3
+ 3 Parietal_L
4
+ 4 Parietal_R
5
+ 5 Temporal_L
6
+ 6 Temporal_R
7
+ 7 Limbic_L
8
+ 8 Limbic_R
9
+ 9 Occipital_L
10
+ 10 Occipital_R
11
+ 11 Insula_L
12
+ 12 Insula_R
13
+ 13 Amyg_L
14
+ 14 Amyg_R
15
+ 15 BasalGang_L
16
+ 16 BasalGang_R
17
+ 17 Thalamus_L
18
+ 18 Thalamus_R
19
+ 19 BasalForebrain_L
20
+ 20 BasalForebrain_R
21
+ 21 midbrain_L
22
+ 22 midbrain_R
23
+ 23 Cerebellum_R
24
+ 24 Cerebellum_L
25
+ 25 Pons_L
26
+ 26 Pons_R
27
+ 27 Medulla_L
28
+ 28 Medulla_R
29
+ 29 AnteriorWM_L
30
+ 30 AnteriorWM_R
31
+ 31 PosteriorWM_L
32
+ 32 PosteriorWM_R
33
+ 33 CorpusCallosum_L
34
+ 34 CorpusCallosum_R
35
+ 35 InferiorWM_L
36
+ 36 InferiorWM_R
37
+ 37 LimbicWM_L
38
+ 38 LimbicWM_R
39
+ 39 LateralVentricle_L
40
+ 40 LateralVentricle_R
41
+ 41 III_ventricle
42
+ 42 FrontSul_L
43
+ 43 FrontSul_R
44
+ 44 CentralSul_L
45
+ 45 CentralSul_R
46
+ 46 SylvianFissureExt_L
47
+ 47 SylvianFissureExt_R
48
+ 48 ParietSul_L
49
+ 49 ParietSul_R
50
+ 50 CinguSul_L
51
+ 51 CinguSul_R
52
+ 52 OcciptSul_L
53
+ 53 OcciptSul_R
54
+ 54 TempSul_L
55
+ 55 TempSul_R
56
+ 56 IV_ventricle
57
+ 57 ECS_L
58
+ 58 ECS_R
level/Level4.txt ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 1 SFG_L
2
+ 2 SFG_R
3
+ 3 MFG_L
4
+ 4 MFG_R
5
+ 5 IFG_L
6
+ 6 IFG_R
7
+ 7 OG_L
8
+ 8 OG_R
9
+ 9 RG_L
10
+ 10 RG_R
11
+ 11 PoCG_L
12
+ 12 PoCG_R
13
+ 13 PrCG_L
14
+ 14 PrCG_R
15
+ 15 SPG_L
16
+ 16 SPG_R
17
+ 17 SMG_L
18
+ 18 SMG_R
19
+ 19 AG_L
20
+ 20 AG_R
21
+ 21 PrCu_L
22
+ 22 PrCu_R
23
+ 23 STG_L
24
+ 24 STG_R
25
+ 25 MTG_L
26
+ 26 MTG_R
27
+ 27 ITG_L
28
+ 28 ITG_R
29
+ 29 Limbic_L
30
+ 30 Limbic_R
31
+ 31 FuG_L
32
+ 32 FuG_R
33
+ 33 SOG_L
34
+ 34 SOG_R
35
+ 35 MOG_L
36
+ 36 MOG_R
37
+ 37 IOG_L
38
+ 38 IOG_R
39
+ 39 Cu_L
40
+ 40 Cu_R
41
+ 41 LG_L
42
+ 42 LG_R
43
+ 43 Cingulate_L
44
+ 44 Cingulate_R
45
+ 45 Insula_L
46
+ 46 Insula_R
47
+ 47 Amyg_L
48
+ 48 Amyg_R
49
+ 49 Hippo_L
50
+ 50 Hippo_R
51
+ 51 Caud_L
52
+ 52 Caud_R
53
+ 53 Put_L
54
+ 54 Put_R
55
+ 55 GP_L
56
+ 56 GP_R
57
+ 57 Thalamus_L
58
+ 58 Thalamus_R
59
+ 59 BasalForebrain_L
60
+ 60 BasalForebrain_R
61
+ 61 NucAccumbens_L
62
+ 62 NucAccumbens_R
63
+ 63 midbrain_L
64
+ 64 midbrain_R
65
+ 65 Cerebellum_R
66
+ 66 Cerebellum_L
67
+ 67 Pons_L
68
+ 68 Pons_R
69
+ 69 Medulla_L
70
+ 70 Medulla_R
71
+ 71 ant_DPWM_L
72
+ 72 ant_DPWM_R
73
+ 73 post_DPWM_L
74
+ 74 post_DPWM_R
75
+ 75 GCC_L
76
+ 76 GCC_R
77
+ 77 BCC_L
78
+ 78 BCC_R
79
+ 79 SCC_L
80
+ 80 SCC_R
81
+ 81 PVWl_L
82
+ 82 PVWl_R
83
+ 83 ALIC_L
84
+ 84 ALIC_R
85
+ 85 PLIC_L
86
+ 86 PLIC_R
87
+ 87 inf_DPWM_L
88
+ 88 inf_DPWM_R
89
+ 89 CGC_L
90
+ 90 CGC_R
91
+ 91 CGH_L
92
+ 92 CGH_R
93
+ 93 Fx/ST_L
94
+ 94 Fx/ST_R
95
+ 95 Fx_L
96
+ 96 Fx_R
97
+ 97 PeripheralParietalWM_L
98
+ 98 PeripheralParietalWM_R
99
+ 99 AnteriorLateralVentricle_L
100
+ 100 PosteriorLateralVentricle_L
101
+ 101 InferiorLateralVentricle_L
102
+ 102 AnteriorLateralVentricle_R
103
+ 103 PosteriorLateralVentricle_R
104
+ 104 InferiorLateralVentricle_R
105
+ 105 III_ventricle
106
+ 106 PVWa_L
107
+ 107 PVWa_R
108
+ 108 PVWp_L
109
+ 109 PVWp_R
110
+ 110 PeripheralFrontalWM_L
111
+ 111 PeripheralFrontalWM_R
112
+ 112 PeripheralTemporalWM_L
113
+ 113 PeripheralTemporalWM_R
114
+ 114 PeripheralOccipitalWM_L
115
+ 115 PeripheralOccipitalWM_R
116
+ 116 PeripheralCingulateWM_L
117
+ 117 PeripheralCingulateWM_R
118
+ 118 CerebellumWM_R
119
+ 119 CerebellumWM_L
120
+ 120 FrontSul_L
121
+ 121 FrontSul_R
122
+ 122 CentralSul_L
123
+ 123 CentralSul_R
124
+ 124 SylFrontSul_L
125
+ 125 SylFrontSul_R
126
+ 126 SylTempSul_L
127
+ 127 SylTempSul_R
128
+ 128 SylParieSul_L
129
+ 129 SylParieSul_R
130
+ 130 ParietSul_L
131
+ 131 ParietSul_R
132
+ 132 CinguSul_L
133
+ 133 CinguSul_R
134
+ 134 OcciptSul_L
135
+ 135 OcciptSul_R
136
+ 136 TempSul_L
137
+ 137 TempSul_R
138
+ 138 Caudate_tail_L
139
+ 139 Caudate_tail_R
140
+ 140 IV_ventricle
141
+ 141 ECSAnterior_L
142
+ 142 ECSAnterior_R
143
+ 143 ECSPosterior_L
144
+ 144 ECSPosterior_R
level/Level5.txt ADDED
@@ -0,0 +1,280 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 1 SFG_L
2
+ 2 SFG_R
3
+ 3 SFG_PFC_L
4
+ 4 SFG_PFC_R
5
+ 5 SFG_pole_L
6
+ 6 SFG_pole_R
7
+ 7 MFG_L
8
+ 8 MFG_R
9
+ 9 MFG_DPFC_L
10
+ 10 MFG_DPFC_R
11
+ 11 IFG_opercularis_L
12
+ 12 IFG_opercularis_R
13
+ 13 IFG_orbitalis_L
14
+ 14 IFG_orbitalis_R
15
+ 15 IFG_triangularis_L
16
+ 16 IFG_triangularis_R
17
+ 17 LFOG_L
18
+ 18 LFOG_R
19
+ 19 MFOG_L
20
+ 20 MFOG_R
21
+ 21 RG_L
22
+ 22 RG_R
23
+ 23 PoCG_L
24
+ 24 PoCG_R
25
+ 25 PrCG_L
26
+ 26 PrCG_R
27
+ 27 SPG_L
28
+ 28 SPG_R
29
+ 29 SMG_L
30
+ 30 SMG_R
31
+ 31 AG_L
32
+ 32 AG_R
33
+ 33 PrCu_L
34
+ 34 PrCu_R
35
+ 35 STG_L
36
+ 36 STG_R
37
+ 37 STG_pole_L
38
+ 38 STG_pole_R
39
+ 39 MTG_L
40
+ 40 MTG_R
41
+ 41 MTG_pole_L
42
+ 42 MTG_pole_R
43
+ 43 ITG_L
44
+ 44 ITG_R
45
+ 45 PHG_L
46
+ 46 PHG_R
47
+ 47 ENT_L
48
+ 48 ENT_R
49
+ 49 FuG_L
50
+ 50 FuG_R
51
+ 51 SOG_L
52
+ 52 SOG_R
53
+ 53 MOG_L
54
+ 54 MOG_R
55
+ 55 IOG_L
56
+ 56 IOG_R
57
+ 57 Cu_L
58
+ 58 Cu_R
59
+ 59 LG_L
60
+ 60 LG_R
61
+ 61 rostral_ACC_L
62
+ 62 rostral_ACC_R
63
+ 63 subcallosal_ACC_L
64
+ 64 subcallosal_ACC_R
65
+ 65 subgenual_ACC_L
66
+ 66 subgenual_ACC_R
67
+ 67 dorsal_ACC_L
68
+ 68 dorsal_ACC_R
69
+ 69 PCC_L
70
+ 70 PCC_R
71
+ 71 Insula_L
72
+ 72 Insula_R
73
+ 73 Amyg_L
74
+ 74 Amyg_R
75
+ 75 Hippo_L
76
+ 76 Hippo_R
77
+ 77 Caud_L
78
+ 78 Caud_R
79
+ 79 Put_L
80
+ 80 Put_R
81
+ 81 GP_L
82
+ 82 GP_R
83
+ 83 Thalamus_L
84
+ 84 Thalamus_R
85
+ 85 HypoThalamus_L
86
+ 86 HypoThalamus_R
87
+ 87 AnteriorBasalForebrain_L
88
+ 88 AnteriorBasalForebrain_R
89
+ 89 NucAccumbens_L
90
+ 90 NucAccumbens_R
91
+ 91 RedNc_L
92
+ 92 RedNc_R
93
+ 93 Snigra_L
94
+ 94 Snigra_R
95
+ 95 CerebellumGM_R
96
+ 96 CerebellumGM_L
97
+ 97 CP_L
98
+ 98 CP_R
99
+ 99 Midbrain_L
100
+ 100 Midbrain_R
101
+ 101 CST_L
102
+ 102 CST_R
103
+ 103 SCP_L
104
+ 104 SCP_R
105
+ 105 MCP_L
106
+ 106 MCP_R
107
+ 107 PCT_L
108
+ 108 PCT_R
109
+ 109 ICP_L
110
+ 110 ICP_R
111
+ 111 ML_L
112
+ 112 ML_R
113
+ 113 Pons_L
114
+ 114 Pons_R
115
+ 115 Medulla_L
116
+ 116 Medulla_R
117
+ 117 ACR_L
118
+ 118 ACR_R
119
+ 119 SCR_L
120
+ 120 SCR_R
121
+ 121 PCR_L
122
+ 122 PCR_R
123
+ 123 GCC_L
124
+ 124 GCC_R
125
+ 125 BCC_L
126
+ 126 BCC_R
127
+ 127 SCC_L
128
+ 128 SCC_R
129
+ 129 PVWl_L
130
+ 130 PVWl_R
131
+ 131 ALIC_L
132
+ 132 ALIC_R
133
+ 133 PLIC_L
134
+ 134 PLIC_R
135
+ 135 RLIC_L
136
+ 136 RLIC_R
137
+ 137 EC_L
138
+ 138 EC_R
139
+ 139 CGC_L
140
+ 140 CGC_R
141
+ 141 CGH_L
142
+ 142 CGH_R
143
+ 143 Fx/ST_L
144
+ 144 Fx/ST_R
145
+ 145 Fx_L
146
+ 146 Fx_R
147
+ 147 IFO_L
148
+ 148 IFO_R
149
+ 149 PTR_L
150
+ 150 PTR_R
151
+ 151 SS_L
152
+ 152 SS_R
153
+ 153 SFO_L
154
+ 154 SFO_R
155
+ 155 SLF_L
156
+ 156 SLF_R
157
+ 157 Cl_L
158
+ 158 Cl_R
159
+ 159 PosteriorBasalForebrain_L
160
+ 160 PosteriorBasalForebrain_R
161
+ 161 Mammillary_R
162
+ 162 Mammillary_L
163
+ 163 LV_Frontal_L
164
+ 164 LV_body_L
165
+ 165 LV_atrium_L
166
+ 166 LV_Occipital_L
167
+ 167 LV_Inferior_L
168
+ 168 LV_Frontal_R
169
+ 169 LV_body_R
170
+ 170 LV_atrium_R
171
+ 171 LV_Occipital_R
172
+ 172 LV_Inferior_R
173
+ 173 III_ventricle
174
+ 174 PVWa_L
175
+ 175 PVWa_R
176
+ 176 PVWp_L
177
+ 177 PVWp_R
178
+ 178 SFWM_L
179
+ 179 SFWM_R
180
+ 180 SFWM_PFC_L
181
+ 181 SFWM_PFC_R
182
+ 182 SFWM_pole_L
183
+ 183 SFWM_pole_R
184
+ 184 MFWM_L
185
+ 185 MFWM_R
186
+ 186 MFWM_DPFC_L
187
+ 187 MFWM_DPFC_R
188
+ 188 IFWM_opercularis_L
189
+ 189 IFWM_opercularis_R
190
+ 190 IFWM_orbitalis_L
191
+ 191 IFWM_orbitalis_R
192
+ 192 IFWM_triangularis_L
193
+ 193 IFWM_triangularis_R
194
+ 194 LFOWM_L
195
+ 195 LFOWM_R
196
+ 196 MFOWM_L
197
+ 197 MFOWM_R
198
+ 198 RGWM_L
199
+ 199 RGWM_R
200
+ 200 PoCWM_L
201
+ 201 PoCWM_R
202
+ 202 PrCWM_L
203
+ 203 PrCWM_R
204
+ 204 SPWM_L
205
+ 205 SPWM_R
206
+ 206 SMWM_L
207
+ 207 SMWM_R
208
+ 208 AGWM_L
209
+ 209 AGWM_R
210
+ 210 PrCuWM_L
211
+ 211 PrCuWM_R
212
+ 212 STWM_L
213
+ 213 STWM_R
214
+ 214 STWM_pole_L
215
+ 215 STWM_pole_R
216
+ 216 MTWM_L
217
+ 217 MTWM_R
218
+ 218 MTWM_pole_L
219
+ 219 MTWM_pole_R
220
+ 220 ITWM_L
221
+ 221 ITWM_R
222
+ 222 FuWM_L
223
+ 223 FuWM_R
224
+ 224 SOWM_L
225
+ 225 SOWM_R
226
+ 226 MOWM_L
227
+ 227 MOWM_R
228
+ 228 IOWM_L
229
+ 229 IOWM_R
230
+ 230 CuWM_L
231
+ 231 CuWM_R
232
+ 232 LGWM_L
233
+ 233 LGWM_R
234
+ 234 rostralWM_ACC_L
235
+ 235 rostralWM_ACC_R
236
+ 236 subcallosalWM_ACC_L
237
+ 237 subcallosalWM_ACC_R
238
+ 238 subgenualWM_ACC_L
239
+ 239 subgenualWM_ACC_R
240
+ 240 dorsalWM_ACC_L
241
+ 241 dorsalWM_ACC_R
242
+ 242 PCCWM_L
243
+ 243 PCCWM_R
244
+ 244 CerebellumWM_R
245
+ 245 CerebellumWM_L
246
+ 246 MCP_cb_L
247
+ 247 MCP_cb_R
248
+ 248 ICP_cb_L
249
+ 249 ICP_cb_R
250
+ 250 FrontSul_L
251
+ 251 FrontSul_R
252
+ 252 CentralSul_L
253
+ 253 CentralSul_R
254
+ 254 SylFrontSul_L
255
+ 255 SylFrontSul_R
256
+ 256 SylTempSul_L
257
+ 257 SylTempSul_R
258
+ 258 SylParieSul_L
259
+ 259 SylParieSul_R
260
+ 260 ParietSul_L
261
+ 261 ParietSul_R
262
+ 262 CinguSul_L
263
+ 263 CinguSul_R
264
+ 264 OcciptSul_L
265
+ 265 OcciptSul_R
266
+ 266 TempSul_L
267
+ 267 TempSul_R
268
+ 268 Caudate_tail_L
269
+ 269 Fimbria_L
270
+ 270 Caudate_tail_R
271
+ 271 Fimbria_R
272
+ 272 Chroid_LVetc_L
273
+ 273 Chroid_LVetc_R
274
+ 274 IV_ventricle
275
+ 275 ECCL_L
276
+ 276 ECCL_R
277
+ 277 ECSAnterior_L
278
+ 278 ECSAnterior_R
279
+ 279 ECSPosterior_L
280
+ 280 ECSPosterior_R
level/Level_ROI_Name.csv ADDED
@@ -0,0 +1,281 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Level5,Type1_Level5,Type1_Level4,Type1_Level3,Type1_Level2,Type1_Level1,Type2_Level5,Type2_Level4,Type2_Level3,Type2_Level2,Type2_Level1
2
+ 1,SFG_L,SFG_L,Frontal_L,CerebralCortex_L,Telencephalon_L,SF_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
3
+ 2,SFG_R,SFG_R,Frontal_R,CerebralCortex_R,Telencephalon_R,SF_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
4
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25
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26
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27
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28
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29
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30
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32
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+ 32,AG_R,AG_R,Parietal_R,CerebralCortex_R,Telencephalon_R,A_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
34
+ 33,PrCu_L,PrCu_L,Parietal_L,CerebralCortex_L,Telencephalon_L,PrCu_L,Parietal_L,Parietal_L,Hemisphere_L,Hemisphere_L
35
+ 34,PrCu_R,PrCu_R,Parietal_R,CerebralCortex_R,Telencephalon_R,PrCu_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
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37
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38
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39
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40
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41
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42
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43
+ 42,MTG_pole_R,MTG_R,Temporal_R,CerebralCortex_R,Telencephalon_R,MT_R_pole,Temporal_R,Temporal_R,Hemisphere_R,Hemisphere_R
44
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45
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46
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47
+ 46,PHG_R,Limbic_R,Limbic_R,CerebralCortex_R,Telencephalon_R,PHG_R,Limbic_R,Limbic_R,Hemisphere_R,Hemisphere_R
48
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50
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51
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52
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114
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115
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116
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117
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+ 124,GCC_R,GCC_R,CorpusCallosum_R,WhiteMatter_R,Telencephalon_R,GCC_R,CorpusCallosum_R,CorpusCallosum_R,WhiteMatter_R,Hemisphere_R
126
+ 125,BCC_L,BCC_L,CorpusCallosum_L,WhiteMatter_L,Telencephalon_L,BCC_L,CorpusCallosum_L,CorpusCallosum_L,WhiteMatter_L,Hemisphere_L
127
+ 126,BCC_R,BCC_R,CorpusCallosum_R,WhiteMatter_R,Telencephalon_R,BCC_R,CorpusCallosum_R,CorpusCallosum_R,WhiteMatter_R,Hemisphere_R
128
+ 127,SCC_L,SCC_L,CorpusCallosum_L,WhiteMatter_L,Telencephalon_L,SCC_L,CorpusCallosum_L,CorpusCallosum_L,WhiteMatter_L,Hemisphere_L
129
+ 128,SCC_R,SCC_R,CorpusCallosum_R,WhiteMatter_R,Telencephalon_R,SCC_R,CorpusCallosum_R,CorpusCallosum_R,WhiteMatter_R,Hemisphere_R
130
+ 129,PVWl_L,PVWl_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,PVWl_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
131
+ 130,PVWl_R,PVWl_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,PVWl_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
132
+ 131,ALIC_L,ALIC_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,ALIC_L,InternalCapsule_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
133
+ 132,ALIC_R,ALIC_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,ALIC_R,InternalCapsule_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
134
+ 133,PLIC_L,PLIC_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,PLIC_L,InternalCapsule_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
135
+ 134,PLIC_R,PLIC_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,PLIC_R,InternalCapsule_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
136
+ 135,RLIC_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,RLIC_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
137
+ 136,RLIC_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,RLIC_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
138
+ 137,EC_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,EC_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
139
+ 138,EC_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,EC_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
140
+ 139,CGC_L,CGC_L,LimbicWM_L,WhiteMatter_L,Telencephalon_L,CGC_L,LimbicWM_L,LimbicWM_L,WhiteMatter_L,Hemisphere_L
141
+ 140,CGC_R,CGC_R,LimbicWM_R,WhiteMatter_R,Telencephalon_R,CGC_R,LimbicWM_R,LimbicWM_R,WhiteMatter_R,Hemisphere_R
142
+ 141,CGH_L,CGH_L,LimbicWM_L,WhiteMatter_L,Telencephalon_L,CGH_L,LimbicWM_L,LimbicWM_L,WhiteMatter_L,Hemisphere_L
143
+ 142,CGH_R,CGH_R,LimbicWM_R,WhiteMatter_R,Telencephalon_R,CGH_R,LimbicWM_R,LimbicWM_R,WhiteMatter_R,Hemisphere_R
144
+ 143,Fx/ST_L,Fx/ST_L,LimbicWM_L,WhiteMatter_L,Telencephalon_L,Fx/ST_L,LimbicWM_L,LimbicWM_L,WhiteMatter_L,Hemisphere_L
145
+ 144,Fx/ST_R,Fx/ST_R,LimbicWM_R,WhiteMatter_R,Telencephalon_R,Fx/ST_R,LimbicWM_R,LimbicWM_R,WhiteMatter_R,Hemisphere_R
146
+ 145,Fx_L,Fx_L,LimbicWM_L,WhiteMatter_L,Telencephalon_L,Fx_L,LimbicWM_L,LimbicWM_L,WhiteMatter_L,Hemisphere_L
147
+ 146,Fx_R,Fx_R,LimbicWM_R,WhiteMatter_R,Telencephalon_R,Fx_R,LimbicWM_R,LimbicWM_R,WhiteMatter_R,Hemisphere_R
148
+ 147,IFO_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,IFO_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
149
+ 148,IFO_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,IFO_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
150
+ 149,PTR_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,PTR_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
151
+ 150,PTR_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,PTR_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
152
+ 151,SS_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,SS_L,inf_DPWM_L,InferiorWM_L,WhiteMatter_L,Hemisphere_L
153
+ 152,SS_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,SS_R,inf_DPWM_R,InferiorWM_R,WhiteMatter_R,Hemisphere_R
154
+ 153,SFO_L,ant_DPWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,SFO_L,ant_DPWM_L,AnteriorWM_L,WhiteMatter_L,Hemisphere_L
155
+ 154,SFO_R,ant_DPWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,SFO_R,ant_DPWM_R,AnteriorWM_R,WhiteMatter_R,Hemisphere_R
156
+ 155,SLF_L,PeripheralParietalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,SLF_L,Parietal_L,Parietal_L,Hemisphere_L,Hemisphere_L
157
+ 156,SLF_R,PeripheralParietalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,SLF_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
158
+ 157,Cl_L,BasalForebrain_L,BasalForebrain_L,BasalForebrain_L,Diencephalon_L,Cl_L,BasalForebrain_L,BasalForebrain_L,BasalForebrain_L,Hemisphere_L
159
+ 158,Cl_R,BasalForebrain_R,BasalForebrain_R,BasalForebrain_R,Diencephalon_R,Cl_R,BasalForebrain_R,BasalForebrain_R,BasalForebrain_R,Hemisphere_R
160
+ 159,PosteriorBasalForebrain_L,BasalForebrain_L,BasalForebrain_L,BasalForebrain_L,Diencephalon_L,BasalForebrain_L,BasalForebrain_L,BasalForebrain_L,BasalForebrain_L,Hemisphere_L
161
+ 160,PosteriorBasalForebrain_R,BasalForebrain_R,BasalForebrain_R,BasalForebrain_R,Diencephalon_R,BasalForebrain_R,BasalForebrain_R,BasalForebrain_R,BasalForebrain_R,Hemisphere_R
162
+ 161,Mammillary_R,BasalForebrain_R,BasalForebrain_R,BasalForebrain_R,Diencephalon_R,Mammillary_R,BasalForebrain_R,BasalForebrain_R,BasalForebrain_R,Hemisphere_R
163
+ 162,Mammillary_L,BasalForebrain_L,BasalForebrain_L,BasalForebrain_L,Diencephalon_L,Mammillary_L,BasalForebrain_L,BasalForebrain_L,BasalForebrain_L,Hemisphere_L
164
+ 163,LV_Frontal_L,AnteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF,LV_Frontal_L,AnteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF
165
+ 164,LV_body_L,AnteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF,LV_body_L,AnteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF
166
+ 165,LV_atrium_L,PosteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF,LV_atrium_L,PosteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF
167
+ 166,LV_Occipital_L,PosteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF,LV_Occipital_L,PosteriorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF
168
+ 167,LV_Inferior_L,InferiorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF,LV_Inferior_L,InferiorLateralVentricle_L,LateralVentricle_L,Ventricle,CSF
169
+ 168,LV_Frontal_R,AnteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF,LV_Frontal_R,AnteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF
170
+ 169,LV_body_R,AnteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF,LV_body_R,AnteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF
171
+ 170,LV_atrium_R,PosteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF,LV_atrium_R,PosteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF
172
+ 171,LV_Occipital_R,PosteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF,LV_Occipital_R,PosteriorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF
173
+ 172,LV_Inferior_R,InferiorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF,LV_Inferior_R,InferiorLateralVentricle_R,LateralVentricle_R,Ventricle,CSF
174
+ 173,III_ventricle,III_ventricle,III_ventricle,Ventricle,CSF,III_ventricle,III_ventricle,III_ventricle,Ventricle,CSF
175
+ 174,PVWa_L,PVWa_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,PVWa_L,ant_DPWM_L,AnteriorWM_L,WhiteMatter_L,Hemisphere_L
176
+ 175,PVWa_R,PVWa_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,PVWa_R,ant_DPWM_R,AnteriorWM_R,WhiteMatter_R,Hemisphere_R
177
+ 176,PVWp_L,PVWp_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,PVWp_L,post_DPWM_L,PosteriorWM_L,WhiteMatter_L,Hemisphere_L
178
+ 177,PVWp_R,PVWp_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,PVWp_R,post_DPWM_R,PosteriorWM_R,WhiteMatter_R,Hemisphere_R
179
+ 178,SFWM_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,SF_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
180
+ 179,SFWM_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,SF_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
181
+ 180,SFWM_PFC_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,SF_PFC_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
182
+ 181,SFWM_PFC_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,SF_PFC_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
183
+ 182,SFWM_pole_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,SF_pole_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
184
+ 183,SFWM_pole_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,SF_pole_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
185
+ 184,MFWM_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,MF_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
186
+ 185,MFWM_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,MF_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
187
+ 186,MFWM_DPFC_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,MF_DPFC_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
188
+ 187,MFWM_DPFC_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,MF_DPFC_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
189
+ 188,IFWM_opercularis_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,IF_opercularis_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
190
+ 189,IFWM_opercularis_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,IF_opercularis_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
191
+ 190,IFWM_orbitalis_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,IF_orbitalis_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
192
+ 191,IFWM_orbitalis_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,IF_orbitalis_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
193
+ 192,IFWM_triangularis_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,IF_triangularis_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
194
+ 193,IFWM_triangularis_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,IF_triangularis_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
195
+ 194,LFOWM_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,LFO_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
196
+ 195,LFOWM_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,LFO_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
197
+ 196,MFOWM_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,MFO_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
198
+ 197,MFOWM_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,MFO_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
199
+ 198,RGWM_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,R_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
200
+ 199,RGWM_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,R_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
201
+ 200,PoCWM_L,PeripheralParietalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,PoC_L,Parietal_L,Parietal_L,Hemisphere_L,Hemisphere_L
202
+ 201,PoCWM_R,PeripheralParietalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,PoC_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
203
+ 202,PrCWM_L,PeripheralFrontalWM_L,AnteriorWM_L,WhiteMatter_L,Telencephalon_L,PrC_L,Frontal_L,Frontal_L,Hemisphere_L,Hemisphere_L
204
+ 203,PrCWM_R,PeripheralFrontalWM_R,AnteriorWM_R,WhiteMatter_R,Telencephalon_R,PrC_R,Frontal_R,Frontal_R,Hemisphere_R,Hemisphere_R
205
+ 204,SPWM_L,PeripheralParietalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,SP_L,Parietal_L,Parietal_L,Hemisphere_L,Hemisphere_L
206
+ 205,SPWM_R,PeripheralParietalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,SP_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
207
+ 206,SMWM_L,PeripheralParietalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,SM_L,Parietal_L,Parietal_L,Hemisphere_L,Hemisphere_L
208
+ 207,SMWM_R,PeripheralParietalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,SM_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
209
+ 208,AGWM_L,PeripheralParietalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,A_L,Parietal_L,Parietal_L,Hemisphere_L,Hemisphere_L
210
+ 209,AGWM_R,PeripheralParietalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,A_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
211
+ 210,PrCuWM_L,PeripheralParietalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,PrCu_L,Parietal_L,Parietal_L,Hemisphere_L,Hemisphere_L
212
+ 211,PrCuWM_R,PeripheralParietalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,PrCu_R,Parietal_R,Parietal_R,Hemisphere_R,Hemisphere_R
213
+ 212,STWM_L,PeripheralTemporalWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,ST_L,Temporal_L,Temporal_L,Hemisphere_L,Hemisphere_L
214
+ 213,STWM_R,PeripheralTemporalWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,ST_R,Temporal_R,Temporal_R,Hemisphere_R,Hemisphere_R
215
+ 214,STWM_pole_L,PeripheralTemporalWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,ST_L_pole,Temporal_L,Temporal_L,Hemisphere_L,Hemisphere_L
216
+ 215,STWM_pole_R,PeripheralTemporalWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,ST_R_pole,Temporal_R,Temporal_R,Hemisphere_R,Hemisphere_R
217
+ 216,MTWM_L,PeripheralTemporalWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,MT_L,Temporal_L,Temporal_L,Hemisphere_L,Hemisphere_L
218
+ 217,MTWM_R,PeripheralTemporalWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,MT_R,Temporal_R,Temporal_R,Hemisphere_R,Hemisphere_R
219
+ 218,MTWM_pole_L,PeripheralTemporalWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,MT_L_pole,Temporal_L,Temporal_L,Hemisphere_L,Hemisphere_L
220
+ 219,MTWM_pole_R,PeripheralTemporalWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,MT_R_pole,Temporal_R,Temporal_R,Hemisphere_R,Hemisphere_R
221
+ 220,ITWM_L,PeripheralTemporalWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,IT_L,Temporal_L,Temporal_L,Hemisphere_L,Hemisphere_L
222
+ 221,ITWM_R,PeripheralTemporalWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,IT_R,Temporal_R,Temporal_R,Hemisphere_R,Hemisphere_R
223
+ 222,FuWM_L,PeripheralTemporalWM_L,InferiorWM_L,WhiteMatter_L,Telencephalon_L,Fu_L,Temporal_L,Temporal_L,Hemisphere_L,Hemisphere_L
224
+ 223,FuWM_R,PeripheralTemporalWM_R,InferiorWM_R,WhiteMatter_R,Telencephalon_R,Fu_R,Temporal_R,Temporal_R,Hemisphere_R,Hemisphere_R
225
+ 224,SOWM_L,PeripheralOccipitalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,SO_L,Occipital_L,Occipital_L,Hemisphere_L,Hemisphere_L
226
+ 225,SOWM_R,PeripheralOccipitalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,SO_R,Occipital_R,Occipital_R,Hemisphere_R,Hemisphere_R
227
+ 226,MOWM_L,PeripheralOccipitalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,MO_L,Occipital_L,Occipital_L,Hemisphere_L,Hemisphere_L
228
+ 227,MOWM_R,PeripheralOccipitalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,MO_R,Occipital_R,Occipital_R,Hemisphere_R,Hemisphere_R
229
+ 228,IOWM_L,PeripheralOccipitalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,IO_L,Occipital_L,Occipital_L,Hemisphere_L,Hemisphere_L
230
+ 229,IOWM_R,PeripheralOccipitalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,IO_R,Occipital_R,Occipital_R,Hemisphere_R,Hemisphere_R
231
+ 230,CuWM_L,PeripheralOccipitalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,Cu_L,Occipital_L,Occipital_L,Hemisphere_L,Hemisphere_L
232
+ 231,CuWM_R,PeripheralOccipitalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,Cu_R,Occipital_R,Occipital_R,Hemisphere_R,Hemisphere_R
233
+ 232,LGWM_L,PeripheralOccipitalWM_L,PosteriorWM_L,WhiteMatter_L,Telencephalon_L,LG_L,Occipital_L,Occipital_L,Hemisphere_L,Hemisphere_L
234
+ 233,LGWM_R,PeripheralOccipitalWM_R,PosteriorWM_R,WhiteMatter_R,Telencephalon_R,LG_R,Occipital_R,Occipital_R,Hemisphere_R,Hemisphere_R
235
+ 234,rostralWM_ACC_L,PeripheralCingulateWM_L,LimbicWM_L,WhiteMatter_L,Telencephalon_L,rostral_ACC_L,Cingulate_L,Limbic_L,Hemisphere_L,Hemisphere_L
236
+ 235,rostralWM_ACC_R,PeripheralCingulateWM_R,LimbicWM_R,WhiteMatter_R,Telencephalon_R,rostral_ACC_R,Cingulate_R,Limbic_R,Hemisphere_R,Hemisphere_R
237
+ 236,subcallosalWM_ACC_L,PeripheralCingulateWM_L,LimbicWM_L,WhiteMatter_L,Telencephalon_L,subcallosal_ACC_L,Cingulate_L,Limbic_L,Hemisphere_L,Hemisphere_L
238
+ 237,subcallosalWM_ACC_R,PeripheralCingulateWM_R,LimbicWM_R,WhiteMatter_R,Telencephalon_R,subcallosal_ACC_R,Cingulate_R,Limbic_R,Hemisphere_R,Hemisphere_R
239
+ 238,subgenualWM_ACC_L,PeripheralCingulateWM_L,LimbicWM_L,WhiteMatter_L,Telencephalon_L,subgenual_ACC_L,Cingulate_L,Limbic_L,Hemisphere_L,Hemisphere_L
240
+ 239,subgenualWM_ACC_R,PeripheralCingulateWM_R,LimbicWM_R,WhiteMatter_R,Telencephalon_R,subgenual_ACC_R,Cingulate_R,Limbic_R,Hemisphere_R,Hemisphere_R
241
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263
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level/Level_ROI_No.csv ADDED
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1
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+ 152,152,88,36,16,2,150,40,36,15,2,SS_R
154
+ 153,153,71,29,15,1,151,33,29,14,1,SFO_L
155
+ 154,154,72,30,16,2,152,34,30,15,2,SFO_R
156
+ 155,155,97,31,15,1,153,3,3,1,1,SLF_L
157
+ 156,156,98,32,16,2,154,4,4,2,2,SLF_R
158
+ 157,157,59,19,7,3,155,23,19,7,1,Cl_L
159
+ 158,158,60,20,8,4,156,24,20,8,2,Cl_R
160
+ 159,159,59,19,7,3,87,23,19,7,1,PosteriorBasalForebrain_L
161
+ 160,160,60,20,8,4,88,24,20,8,2,PosteriorBasalForebrain_R
162
+ 161,161,60,20,8,4,157,24,20,8,2,Mammillary_R
163
+ 162,162,59,19,7,3,158,23,19,7,1,Mammillary_L
164
+ 163,163,99,39,17,8,159,45,39,16,5,LV_Frontal_L
165
+ 164,164,99,39,17,8,160,45,39,16,5,LV_body_L
166
+ 165,165,100,39,17,8,161,46,39,16,5,LV_atrium_L
167
+ 166,166,100,39,17,8,162,46,39,16,5,LV_Occipital_L
168
+ 167,167,101,39,17,8,163,47,39,16,5,LV_Inferior_L
169
+ 168,168,102,40,17,8,164,48,40,16,5,LV_Frontal_R
170
+ 169,169,102,40,17,8,165,48,40,16,5,LV_body_R
171
+ 170,170,103,40,17,8,166,49,40,16,5,LV_atrium_R
172
+ 171,171,103,40,17,8,167,49,40,16,5,LV_Occipital_R
173
+ 172,172,104,40,17,8,168,50,40,16,5,LV_Inferior_R
174
+ 173,173,105,41,17,8,169,51,41,16,5,III_ventricle
175
+ 174,174,106,29,15,1,170,33,29,14,1,PVWa_L
176
+ 175,175,107,30,16,2,171,34,30,15,2,PVWa_R
177
+ 176,176,108,31,15,1,172,35,31,14,1,PVWp_L
178
+ 177,177,109,32,16,2,173,36,32,15,2,PVWp_R
179
+ 178,178,110,29,15,1,1,1,1,1,1,SFWM_L
180
+ 179,179,111,30,16,2,2,2,2,2,2,SFWM_R
181
+ 180,180,110,29,15,1,3,1,1,1,1,SFWM_PFC_L
182
+ 181,181,111,30,16,2,4,2,2,2,2,SFWM_PFC_R
183
+ 182,182,110,29,15,1,5,1,1,1,1,SFWM_pole_L
184
+ 183,183,111,30,16,2,6,2,2,2,2,SFWM_pole_R
185
+ 184,184,110,29,15,1,7,1,1,1,1,MFWM_L
186
+ 185,185,111,30,16,2,8,2,2,2,2,MFWM_R
187
+ 186,186,110,29,15,1,9,1,1,1,1,MFWM_DPFC_L
188
+ 187,187,111,30,16,2,10,2,2,2,2,MFWM_DPFC_R
189
+ 188,188,110,29,15,1,11,1,1,1,1,IFWM_opercularis_L
190
+ 189,189,111,30,16,2,12,2,2,2,2,IFWM_opercularis_R
191
+ 190,190,110,29,15,1,13,1,1,1,1,IFWM_orbitalis_L
192
+ 191,191,111,30,16,2,14,2,2,2,2,IFWM_orbitalis_R
193
+ 192,192,110,29,15,1,15,1,1,1,1,IFWM_triangularis_L
194
+ 193,193,111,30,16,2,16,2,2,2,2,IFWM_triangularis_R
195
+ 194,194,110,29,15,1,17,1,1,1,1,LFOWM_L
196
+ 195,195,111,30,16,2,18,2,2,2,2,LFOWM_R
197
+ 196,196,110,29,15,1,19,1,1,1,1,MFOWM_L
198
+ 197,197,111,30,16,2,20,2,2,2,2,MFOWM_R
199
+ 198,198,110,29,15,1,21,1,1,1,1,RGWM_L
200
+ 199,199,111,30,16,2,22,2,2,2,2,RGWM_R
201
+ 200,200,97,31,15,1,23,3,3,1,1,PoCWM_L
202
+ 201,201,98,32,16,2,24,4,4,2,2,PoCWM_R
203
+ 202,202,110,29,15,1,25,1,1,1,1,PrCWM_L
204
+ 203,203,111,30,16,2,26,2,2,2,2,PrCWM_R
205
+ 204,204,97,31,15,1,27,3,3,1,1,SPWM_L
206
+ 205,205,98,32,16,2,28,4,4,2,2,SPWM_R
207
+ 206,206,97,31,15,1,29,3,3,1,1,SMWM_L
208
+ 207,207,98,32,16,2,30,4,4,2,2,SMWM_R
209
+ 208,208,97,31,15,1,31,3,3,1,1,AGWM_L
210
+ 209,209,98,32,16,2,32,4,4,2,2,AGWM_R
211
+ 210,210,97,31,15,1,33,3,3,1,1,PrCuWM_L
212
+ 211,211,98,32,16,2,34,4,4,2,2,PrCuWM_R
213
+ 212,212,112,35,15,1,35,5,5,1,1,STWM_L
214
+ 213,213,113,36,16,2,36,6,6,2,2,STWM_R
215
+ 214,214,112,35,15,1,37,5,5,1,1,STWM_pole_L
216
+ 215,215,113,36,16,2,38,6,6,2,2,STWM_pole_R
217
+ 216,216,112,35,15,1,39,5,5,1,1,MTWM_L
218
+ 217,217,113,36,16,2,40,6,6,2,2,MTWM_R
219
+ 218,218,112,35,15,1,41,5,5,1,1,MTWM_pole_L
220
+ 219,219,113,36,16,2,42,6,6,2,2,MTWM_pole_R
221
+ 220,220,112,35,15,1,43,5,5,1,1,ITWM_L
222
+ 221,221,113,36,16,2,44,6,6,2,2,ITWM_R
223
+ 222,222,112,35,15,1,49,5,5,1,1,FuWM_L
224
+ 223,223,113,36,16,2,50,6,6,2,2,FuWM_R
225
+ 224,224,114,31,15,1,51,9,9,1,1,SOWM_L
226
+ 225,225,115,32,16,2,52,10,10,2,2,SOWM_R
227
+ 226,226,114,31,15,1,53,9,9,1,1,MOWM_L
228
+ 227,227,115,32,16,2,54,10,10,2,2,MOWM_R
229
+ 228,228,114,31,15,1,55,9,9,1,1,IOWM_L
230
+ 229,229,115,32,16,2,56,10,10,2,2,IOWM_R
231
+ 230,230,114,31,15,1,57,9,9,1,1,CuWM_L
232
+ 231,231,115,32,16,2,58,10,10,2,2,CuWM_R
233
+ 232,232,114,31,15,1,59,9,9,1,1,LGWM_L
234
+ 233,233,115,32,16,2,60,10,10,2,2,LGWM_R
235
+ 234,234,116,37,15,1,61,11,7,1,1,rostralWM_ACC_L
236
+ 235,235,117,38,16,2,62,12,8,2,2,rostralWM_ACC_R
237
+ 236,236,116,37,15,1,63,11,7,1,1,subcallosalWM_ACC_L
238
+ 237,237,117,38,16,2,64,12,8,2,2,subcallosalWM_ACC_R
239
+ 238,238,116,37,15,1,65,11,7,1,1,subgenualWM_ACC_L
240
+ 239,239,117,38,16,2,66,12,8,2,2,subgenualWM_ACC_R
241
+ 240,240,116,37,15,1,67,11,7,1,1,dorsalWM_ACC_L
242
+ 241,241,117,38,16,2,68,12,8,2,2,dorsalWM_ACC_R
243
+ 242,242,116,37,15,1,69,11,7,1,1,PCCWM_L
244
+ 243,243,117,38,16,2,70,12,8,2,2,PCCWM_R
245
+ 244,244,118,23,11,6,174,52,23,10,4,CerebellumWM_R
246
+ 245,245,119,24,12,6,175,53,24,11,4,CerebellumWM_L
247
+ 246,246,119,24,12,6,175,53,24,11,4,MCP_cb_L
248
+ 247,247,118,23,11,6,174,52,23,10,4,MCP_cb_R
249
+ 248,248,119,24,12,6,175,53,24,11,4,ICP_cb_L
250
+ 249,249,118,23,11,6,174,52,23,10,4,ICP_cb_R
251
+ 250,250,120,42,18,8,176,54,42,17,5,FrontSul_L
252
+ 251,251,121,43,19,8,177,55,43,18,5,FrontSul_R
253
+ 252,252,122,44,18,8,178,56,44,17,5,CentralSul_L
254
+ 253,253,123,45,19,8,179,57,45,18,5,CentralSul_R
255
+ 254,254,124,46,18,8,180,58,42,17,5,SylFrontSul_L
256
+ 255,255,125,47,19,8,181,59,43,18,5,SylFrontSul_R
257
+ 256,256,126,46,18,8,182,60,46,17,5,SylTempSul_L
258
+ 257,257,127,47,19,8,183,61,47,18,5,SylTempSul_R
259
+ 258,258,128,46,18,8,184,62,48,17,5,SylParieSul_L
260
+ 259,259,129,47,19,8,185,63,49,18,5,SylParieSul_R
261
+ 260,260,130,48,18,8,186,64,48,17,5,ParietSul_L
262
+ 261,261,131,49,19,8,187,65,49,18,5,ParietSul_R
263
+ 262,262,132,50,18,8,188,66,50,17,5,CinguSul_L
264
+ 263,263,133,51,19,8,189,67,51,18,5,CinguSul_R
265
+ 264,264,134,52,18,8,190,68,52,17,5,OcciptSul_L
266
+ 265,265,135,53,19,8,191,69,53,18,5,OcciptSul_R
267
+ 266,266,136,54,18,8,192,70,46,17,5,TempSul_L
268
+ 267,267,137,55,19,8,193,71,47,18,5,TempSul_R
269
+ 268,268,138,15,3,1,194,17,15,3,1,Caudate_tail_L
270
+ 269,269,49,7,1,1,75,7,7,1,1,Fimbria_L
271
+ 270,270,139,16,4,2,195,18,16,4,2,Caudate_tail_R
272
+ 271,271,50,8,2,2,76,8,8,2,2,Fimbria_R
273
+ 272,272,99,39,17,8,196,45,39,16,5,Chroid_LVetc_L
274
+ 273,273,102,40,17,8,197,48,40,16,5,Chroid_LVetc_R
275
+ 274,274,140,56,17,8,198,72,54,16,5,IV_ventricle
276
+ 275,275,87,35,15,1,135,39,35,14,1,ECCL_L
277
+ 276,276,88,36,16,2,136,40,36,15,2,ECCL_R
278
+ 277,277,141,57,20,8,199,73,55,19,5,ECSAnterior_L
279
+ 278,278,142,57,20,8,200,74,55,19,5,ECSAnterior_R
280
+ 279,279,143,58,20,8,201,75,56,19,5,ECSPosterior_L
281
+ 280,280,144,58,20,8,202,76,56,19,5,ECSPosterior_R
level/Multilevel.txt ADDED
@@ -0,0 +1,281 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Level5 modify5 modify4 modify3 modify2 modify1 modify_5 modify_4 modify_3 modify_2 modify_1
2
+ 1 SFG_L SFG_L Frontal_L CerebralCortex_L Telencephalon_L SF_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
3
+ 2 SFG_R SFG_R Frontal_R CerebralCortex_R Telencephalon_R SF_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
4
+ 3 SFG_PFC_L SFG_L Frontal_L CerebralCortex_L Telencephalon_L SF_PFC_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
5
+ 4 SFG_PFC_R SFG_R Frontal_R CerebralCortex_R Telencephalon_R SF_PFC_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
6
+ 5 SFG_pole_L SFG_L Frontal_L CerebralCortex_L Telencephalon_L SF_pole_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
7
+ 6 SFG_pole_R SFG_R Frontal_R CerebralCortex_R Telencephalon_R SF_pole_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
8
+ 7 MFG_L MFG_L Frontal_L CerebralCortex_L Telencephalon_L MF_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
9
+ 8 MFG_R MFG_R Frontal_R CerebralCortex_R Telencephalon_R MF_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
10
+ 9 MFG_DPFC_L MFG_L Frontal_L CerebralCortex_L Telencephalon_L MF_DPFC_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
11
+ 10 MFG_DPFC_R MFG_R Frontal_R CerebralCortex_R Telencephalon_R MF_DPFC_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
12
+ 11 IFG_opercularis_L IFG_L Frontal_L CerebralCortex_L Telencephalon_L IF_opercularis_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
13
+ 12 IFG_opercularis_R IFG_R Frontal_R CerebralCortex_R Telencephalon_R IF_opercularis_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
14
+ 13 IFG_orbitalis_L IFG_L Frontal_L CerebralCortex_L Telencephalon_L IF_orbitalis_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
15
+ 14 IFG_orbitalis_R IFG_R Frontal_R CerebralCortex_R Telencephalon_R IF_orbitalis_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
16
+ 15 IFG_triangularis_L IFG_L Frontal_L CerebralCortex_L Telencephalon_L IF_triangularis_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
17
+ 16 IFG_triangularis_R IFG_R Frontal_R CerebralCortex_R Telencephalon_R IF_triangularis_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
18
+ 17 LFOG_L OG_L Frontal_L CerebralCortex_L Telencephalon_L LFO_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
19
+ 18 LFOG_R OG_R Frontal_R CerebralCortex_R Telencephalon_R LFO_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
20
+ 19 MFOG_L OG_L Frontal_L CerebralCortex_L Telencephalon_L MFO_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
21
+ 20 MFOG_R OG_R Frontal_R CerebralCortex_R Telencephalon_R MFO_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
22
+ 21 RG_L RG_L Frontal_L CerebralCortex_L Telencephalon_L R_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
23
+ 22 RG_R RG_R Frontal_R CerebralCortex_R Telencephalon_R R_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
24
+ 23 PoCG_L PoCG_L Parietal_L CerebralCortex_L Telencephalon_L PoC_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
25
+ 24 PoCG_R PoCG_R Parietal_R CerebralCortex_R Telencephalon_R PoC_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
26
+ 25 PrCG_L PrCG_L Frontal_L CerebralCortex_L Telencephalon_L PrC_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
27
+ 26 PrCG_R PrCG_R Frontal_R CerebralCortex_R Telencephalon_R PrC_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
28
+ 27 SPG_L SPG_L Parietal_L CerebralCortex_L Telencephalon_L SP_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
29
+ 28 SPG_R SPG_R Parietal_R CerebralCortex_R Telencephalon_R SP_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
30
+ 29 SMG_L SMG_L Parietal_L CerebralCortex_L Telencephalon_L SM_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
31
+ 30 SMG_R SMG_R Parietal_R CerebralCortex_R Telencephalon_R SM_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
32
+ 31 AG_L AG_L Parietal_L CerebralCortex_L Telencephalon_L A_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
33
+ 32 AG_R AG_R Parietal_R CerebralCortex_R Telencephalon_R A_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
34
+ 33 PrCu_L PrCu_L Parietal_L CerebralCortex_L Telencephalon_L PrCu_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
35
+ 34 PrCu_R PrCu_R Parietal_R CerebralCortex_R Telencephalon_R PrCu_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
36
+ 35 STG_L STG_L Temporal_L CerebralCortex_L Telencephalon_L ST_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
37
+ 36 STG_R STG_R Temporal_R CerebralCortex_R Telencephalon_R ST_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
38
+ 37 STG_pole_L STG_L Temporal_L CerebralCortex_L Telencephalon_L ST_L_pole Temporal_L Temporal_L Hemisphere_L Hemisphere_L
39
+ 38 STG_pole_R STG_R Temporal_R CerebralCortex_R Telencephalon_R ST_R_pole Temporal_R Temporal_R Hemisphere_R Hemisphere_R
40
+ 39 MTG_L MTG_L Temporal_L CerebralCortex_L Telencephalon_L MT_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
41
+ 40 MTG_R MTG_R Temporal_R CerebralCortex_R Telencephalon_R MT_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
42
+ 41 MTG_pole_L MTG_L Temporal_L CerebralCortex_L Telencephalon_L MT_L_pole Temporal_L Temporal_L Hemisphere_L Hemisphere_L
43
+ 42 MTG_pole_R MTG_R Temporal_R CerebralCortex_R Telencephalon_R MT_R_pole Temporal_R Temporal_R Hemisphere_R Hemisphere_R
44
+ 43 ITG_L ITG_L Temporal_L CerebralCortex_L Telencephalon_L IT_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
45
+ 44 ITG_R ITG_R Temporal_R CerebralCortex_R Telencephalon_R IT_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
46
+ 45 PHG_L Limbic_L Limbic_L CerebralCortex_L Telencephalon_L PHG_L Limbic_L Limbic_L Hemisphere_L Hemisphere_L
47
+ 46 PHG_R Limbic_R Limbic_R CerebralCortex_R Telencephalon_R PHG_R Limbic_R Limbic_R Hemisphere_R Hemisphere_R
48
+ 47 ENT_L Limbic_L Limbic_L CerebralCortex_L Telencephalon_L ENT_L Limbic_L Limbic_L Hemisphere_L Hemisphere_L
49
+ 48 ENT_R Limbic_R Limbic_R CerebralCortex_R Telencephalon_R ENT_R Limbic_R Limbic_R Hemisphere_R Hemisphere_R
50
+ 49 FuG_L FuG_L Temporal_L CerebralCortex_L Telencephalon_L Fu_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
51
+ 50 FuG_R FuG_R Temporal_R CerebralCortex_R Telencephalon_R Fu_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
52
+ 51 SOG_L SOG_L Occipital_L CerebralCortex_L Telencephalon_L SO_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
53
+ 52 SOG_R SOG_R Occipital_R CerebralCortex_R Telencephalon_R SO_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
54
+ 53 MOG_L MOG_L Occipital_L CerebralCortex_L Telencephalon_L MO_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
55
+ 54 MOG_R MOG_R Occipital_R CerebralCortex_R Telencephalon_R MO_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
56
+ 55 IOG_L IOG_L Occipital_L CerebralCortex_L Telencephalon_L IO_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
57
+ 56 IOG_R IOG_R Occipital_R CerebralCortex_R Telencephalon_R IO_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
58
+ 57 Cu_L Cu_L Occipital_L CerebralCortex_L Telencephalon_L Cu_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
59
+ 58 Cu_R Cu_R Occipital_R CerebralCortex_R Telencephalon_R Cu_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
60
+ 59 LG_L LG_L Occipital_L CerebralCortex_L Telencephalon_L LG_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
61
+ 60 LG_R LG_R Occipital_R CerebralCortex_R Telencephalon_R LG_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
62
+ 61 rostral_ACC_L Cingulate_L Limbic_L CerebralCortex_L Telencephalon_L rostral_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
63
+ 62 rostral_ACC_R Cingulate_R Limbic_R CerebralCortex_R Telencephalon_R rostral_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
64
+ 63 subcallosal_ACC_L Cingulate_L Limbic_L CerebralCortex_L Telencephalon_L subcallosal_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
65
+ 64 subcallosal_ACC_R Cingulate_R Limbic_R CerebralCortex_R Telencephalon_R subcallosal_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
66
+ 65 subgenual_ACC_L Cingulate_L Limbic_L CerebralCortex_L Telencephalon_L subgenual_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
67
+ 66 subgenual_ACC_R Cingulate_R Limbic_R CerebralCortex_R Telencephalon_R subgenual_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
68
+ 67 dorsal_ACC_L Cingulate_L Limbic_L CerebralCortex_L Telencephalon_L dorsal_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
69
+ 68 dorsal_ACC_R Cingulate_R Limbic_R CerebralCortex_R Telencephalon_R dorsal_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
70
+ 69 PCC_L Cingulate_L Limbic_L CerebralCortex_L Telencephalon_L PCC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
71
+ 70 PCC_R Cingulate_R Limbic_R CerebralCortex_R Telencephalon_R PCC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
72
+ 71 Insula_L Insula_L Insula_L CerebralCortex_L Telencephalon_L Insula_L Insula_L Insula_L Hemisphere_L Hemisphere_L
73
+ 72 Insula_R Insula_R Insula_R CerebralCortex_R Telencephalon_R Insula_R Insula_R Insula_R Hemisphere_R Hemisphere_R
74
+ 73 Amyg_L Amyg_L Amyg_L CerebralNucli_L Telencephalon_L Amyg_L Amyg_L Amyg_L CerebralNucli_L Hemisphere_L
75
+ 74 Amyg_R Amyg_R Amyg_R CerebralNucli_R Telencephalon_R Amyg_R Amyg_R Amyg_R CerebralNucli_R Hemisphere_R
76
+ 75 Hippo_L Hippo_L Limbic_L CerebralCortex_L Telencephalon_L Hippo_L Limbic_L Limbic_L Hemisphere_L Hemisphere_L
77
+ 76 Hippo_R Hippo_R Limbic_R CerebralCortex_R Telencephalon_R Hippo_R Limbic_R Limbic_R Hemisphere_R Hemisphere_R
78
+ 77 Caud_L Caud_L BasalGang_L CerebralNucli_L Telencephalon_L Caud_L Striatum_L BasalGang_L CerebralNucli_L Hemisphere_L
79
+ 78 Caud_R Caud_R BasalGang_R CerebralNucli_R Telencephalon_R Caud_R Striatum_R BasalGang_R CerebralNucli_R Hemisphere_R
80
+ 79 Put_L Put_L BasalGang_L CerebralNucli_L Telencephalon_L Put_L Striatum_L BasalGang_L CerebralNucli_L Hemisphere_L
81
+ 80 Put_R Put_R BasalGang_R CerebralNucli_R Telencephalon_R Put_R Striatum_R BasalGang_R CerebralNucli_R Hemisphere_R
82
+ 81 GP_L GP_L BasalGang_L CerebralNucli_L Telencephalon_L GP_L GP_L BasalGang_L CerebralNucli_L Hemisphere_L
83
+ 82 GP_R GP_R BasalGang_R CerebralNucli_R Telencephalon_R GP_R GP_R BasalGang_R CerebralNucli_R Hemisphere_R
84
+ 83 Thalamus_L Thalamus_L Thalamus_L Thalamus_L Diencephalon_L Thalamus_L Thalamus_L Thalamus_L Thalamus_L Hemisphere_L
85
+ 84 Thalamus_R Thalamus_R Thalamus_R Thalamus_R Diencephalon_R Thalamus_R Thalamus_R Thalamus_R Thalamus_R Hemisphere_R
86
+ 85 HypoThalamus_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Diencephalon_L HypoThalamus_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Hemisphere_L
87
+ 86 HypoThalamus_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Diencephalon_R HypoThalamus_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Hemisphere_R
88
+ 87 AnteriorBasalForebrain_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Diencephalon_L BasalForebrain_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Hemisphere_L
89
+ 88 AnteriorBasalForebrain_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Diencephalon_R BasalForebrain_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Hemisphere_R
90
+ 89 NucAccumbens_L NucAccumbens_L BasalGang_L CerebralNucli_L Telencephalon_L NucAccumbens_L Striatum_L BasalGang_L CerebralNucli_L Hemisphere_L
91
+ 90 NucAccumbens_R NucAccumbens_R BasalGang_R CerebralNucli_R Telencephalon_R NucAccumbens_R Striatum_R BasalGang_R CerebralNucli_R Hemisphere_R
92
+ 91 RedNc_L midbrain_L midbrain_L Mesencephalon_L Mesencephalon RedNc_L midbrain_L midbrain_L midbrain Brainstem
93
+ 92 RedNc_R midbrain_R midbrain_R Mesencephalon_R Mesencephalon RedNc_R midbrain_R midbrain_R midbrain Brainstem
94
+ 93 Snigra_L midbrain_L midbrain_L Mesencephalon_L Mesencephalon Snigra_L midbrain_L midbrain_L midbrain Brainstem
95
+ 94 Snigra_R midbrain_R midbrain_R Mesencephalon_R Mesencephalon Snigra_R midbrain_R midbrain_R midbrain Brainstem
96
+ 95 CerebellumGM_R Cerebellum_R Cerebellum_R Metencephalon_R Metencephalon Cerebellum_R Cerebellum_R Cerebellum_R Cerebellum_R Cerebellum
97
+ 96 CerebellumGM_L Cerebellum_L Cerebellum_L Metencephalon_L Metencephalon Cerebellum_L Cerebellum_L Cerebellum_L Cerebellum_L Cerebellum
98
+ 97 CP_L midbrain_L midbrain_L Mesencephalon_L Mesencephalon CP_L midbrain_L midbrain_L midbrain Brainstem
99
+ 98 CP_R midbrain_R midbrain_R Mesencephalon_R Mesencephalon CP_R midbrain_R midbrain_R midbrain Brainstem
100
+ 99 Midbrain_L midbrain_L midbrain_L Mesencephalon_L Mesencephalon Midbrain_L midbrain_L midbrain_L midbrain Brainstem
101
+ 100 Midbrain_R midbrain_R midbrain_R Mesencephalon_R Mesencephalon Midbrain_R midbrain_R midbrain_R midbrain Brainstem
102
+ 101 CST_L Pons_L Pons_L Metencephalon_L Metencephalon CST_L Pons_L Pons_L Brainstem_L Brainstem
103
+ 102 CST_R Pons_R Pons_R Metencephalon_R Metencephalon CST_R Pons_R Pons_R Brainstem_R Brainstem
104
+ 103 SCP_L Pons_L Pons_L Metencephalon_L Metencephalon SCP_L Pons_L Pons_L Brainstem_L Brainstem
105
+ 104 SCP_R Pons_R Pons_R Metencephalon_R Metencephalon SCP_R Pons_R Pons_R Brainstem_R Brainstem
106
+ 105 MCP_L Pons_L Pons_L Metencephalon_L Metencephalon MCP_L Pons_L Pons_L Brainstem_L Brainstem
107
+ 106 MCP_R Pons_R Pons_R Metencephalon_R Metencephalon MCP_R Pons_R Pons_R Brainstem_R Brainstem
108
+ 107 PCT_L Pons_L Pons_L Metencephalon_L Metencephalon PCT_L Pons_L Pons_L Brainstem_L Brainstem
109
+ 108 PCT_R Pons_R Pons_R Metencephalon_R Metencephalon PCT_R Pons_R Pons_R Brainstem_R Brainstem
110
+ 109 ICP_L Medulla_L Medulla_L Myelencephalon_L Myelencephalon Medulla_L Medulla_L Medulla_L Brainstem_L Brainstem
111
+ 110 ICP_R Medulla_R Medulla_R Myelencephalon_R Myelencephalon Medulla_R Medulla_R Medulla_R Brainstem_R Brainstem
112
+ 111 ML_L Pons_L Pons_L Metencephalon_L Metencephalon ML_L Pons_L Pons_L Brainstem_L Brainstem
113
+ 112 ML_R Pons_R Pons_R Metencephalon_R Metencephalon ML_R Pons_R Pons_R Brainstem_R Brainstem
114
+ 113 Pons_L Pons_L Pons_L Metencephalon_L Metencephalon Pons_L Pons_L Pons_L Brainstem_L Brainstem
115
+ 114 Pons_R Pons_R Pons_R Metencephalon_R Metencephalon Pons_R Pons_R Pons_R Brainstem_R Brainstem
116
+ 115 Medulla_L Medulla_L Medulla_L Myelencephalon_L Myelencephalon Medulla_L Medulla_L Medulla_L Brainstem_L Brainstem
117
+ 116 Medulla_R Medulla_R Medulla_R Myelencephalon_R Myelencephalon Medulla_R Medulla_R Medulla_R Brainstem_R Brainstem
118
+ 117 ACR_L ant_DPWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L ACR_L ant_DPWM_L AnteriorWM_L WhiteMatter_L Hemisphere_L
119
+ 118 ACR_R ant_DPWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R ACR_R ant_DPWM_R AnteriorWM_R WhiteMatter_R Hemisphere_R
120
+ 119 SCR_L ant_DPWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L SCR_L ant_DPWM_L AnteriorWM_L WhiteMatter_L Hemisphere_L
121
+ 120 SCR_R ant_DPWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R SCR_R ant_DPWM_R AnteriorWM_R WhiteMatter_R Hemisphere_R
122
+ 121 PCR_L post_DPWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L PCR_L post_DPWM_L PosteriorWM_L WhiteMatter_L Hemisphere_L
123
+ 122 PCR_R post_DPWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R PCR_R post_DPWM_R PosteriorWM_R WhiteMatter_R Hemisphere_R
124
+ 123 GCC_L GCC_L CorpusCallosum_L WhiteMatter_L Telencephalon_L GCC_L CorpusCallosum_L CorpusCallosum_L WhiteMatter_L Hemisphere_L
125
+ 124 GCC_R GCC_R CorpusCallosum_R WhiteMatter_R Telencephalon_R GCC_R CorpusCallosum_R CorpusCallosum_R WhiteMatter_R Hemisphere_R
126
+ 125 BCC_L BCC_L CorpusCallosum_L WhiteMatter_L Telencephalon_L BCC_L CorpusCallosum_L CorpusCallosum_L WhiteMatter_L Hemisphere_L
127
+ 126 BCC_R BCC_R CorpusCallosum_R WhiteMatter_R Telencephalon_R BCC_R CorpusCallosum_R CorpusCallosum_R WhiteMatter_R Hemisphere_R
128
+ 127 SCC_L SCC_L CorpusCallosum_L WhiteMatter_L Telencephalon_L SCC_L CorpusCallosum_L CorpusCallosum_L WhiteMatter_L Hemisphere_L
129
+ 128 SCC_R SCC_R CorpusCallosum_R WhiteMatter_R Telencephalon_R SCC_R CorpusCallosum_R CorpusCallosum_R WhiteMatter_R Hemisphere_R
130
+ 129 PVWl_L PVWl_L InferiorWM_L WhiteMatter_L Telencephalon_L PVWl_L inf_DPWM_L InferiorWM_L WhiteMatter_L Hemisphere_L
131
+ 130 PVWl_R PVWl_R InferiorWM_R WhiteMatter_R Telencephalon_R PVWl_R inf_DPWM_R InferiorWM_R WhiteMatter_R Hemisphere_R
132
+ 131 ALIC_L ALIC_L InferiorWM_L WhiteMatter_L Telencephalon_L ALIC_L InternalCapsule_L InferiorWM_L WhiteMatter_L Hemisphere_L
133
+ 132 ALIC_R ALIC_R InferiorWM_R WhiteMatter_R Telencephalon_R ALIC_R InternalCapsule_R InferiorWM_R WhiteMatter_R Hemisphere_R
134
+ 133 PLIC_L PLIC_L InferiorWM_L WhiteMatter_L Telencephalon_L PLIC_L InternalCapsule_L InferiorWM_L WhiteMatter_L Hemisphere_L
135
+ 134 PLIC_R PLIC_R InferiorWM_R WhiteMatter_R Telencephalon_R PLIC_R InternalCapsule_R InferiorWM_R WhiteMatter_R Hemisphere_R
136
+ 135 RLIC_L inf_DPWM_L InferiorWM_L WhiteMatter_L Telencephalon_L RLIC_L inf_DPWM_L InferiorWM_L WhiteMatter_L Hemisphere_L
137
+ 136 RLIC_R inf_DPWM_R InferiorWM_R WhiteMatter_R Telencephalon_R RLIC_R inf_DPWM_R InferiorWM_R WhiteMatter_R Hemisphere_R
138
+ 137 EC_L inf_DPWM_L InferiorWM_L WhiteMatter_L Telencephalon_L EC_L inf_DPWM_L InferiorWM_L WhiteMatter_L Hemisphere_L
139
+ 138 EC_R inf_DPWM_R InferiorWM_R WhiteMatter_R Telencephalon_R EC_R inf_DPWM_R InferiorWM_R WhiteMatter_R Hemisphere_R
140
+ 139 CGC_L CGC_L LimbicWM_L WhiteMatter_L Telencephalon_L CGC_L LimbicWM_L LimbicWM_L WhiteMatter_L Hemisphere_L
141
+ 140 CGC_R CGC_R LimbicWM_R WhiteMatter_R Telencephalon_R CGC_R LimbicWM_R LimbicWM_R WhiteMatter_R Hemisphere_R
142
+ 141 CGH_L CGH_L LimbicWM_L WhiteMatter_L Telencephalon_L CGH_L LimbicWM_L LimbicWM_L WhiteMatter_L Hemisphere_L
143
+ 142 CGH_R CGH_R LimbicWM_R WhiteMatter_R Telencephalon_R CGH_R LimbicWM_R LimbicWM_R WhiteMatter_R Hemisphere_R
144
+ 143 Fx/ST_L Fx/ST_L LimbicWM_L WhiteMatter_L Telencephalon_L Fx/ST_L LimbicWM_L LimbicWM_L WhiteMatter_L Hemisphere_L
145
+ 144 Fx/ST_R Fx/ST_R LimbicWM_R WhiteMatter_R Telencephalon_R Fx/ST_R LimbicWM_R LimbicWM_R WhiteMatter_R Hemisphere_R
146
+ 145 Fx_L Fx_L LimbicWM_L WhiteMatter_L Telencephalon_L Fx_L LimbicWM_L LimbicWM_L WhiteMatter_L Hemisphere_L
147
+ 146 Fx_R Fx_R LimbicWM_R WhiteMatter_R Telencephalon_R Fx_R LimbicWM_R LimbicWM_R WhiteMatter_R Hemisphere_R
148
+ 147 IFO_L inf_DPWM_L InferiorWM_L WhiteMatter_L Telencephalon_L IFO_L inf_DPWM_L InferiorWM_L WhiteMatter_L Hemisphere_L
149
+ 148 IFO_R inf_DPWM_R InferiorWM_R WhiteMatter_R Telencephalon_R IFO_R inf_DPWM_R InferiorWM_R WhiteMatter_R Hemisphere_R
150
+ 149 PTR_L inf_DPWM_L InferiorWM_L WhiteMatter_L Telencephalon_L PTR_L inf_DPWM_L InferiorWM_L WhiteMatter_L Hemisphere_L
151
+ 150 PTR_R inf_DPWM_R InferiorWM_R WhiteMatter_R Telencephalon_R PTR_R inf_DPWM_R InferiorWM_R WhiteMatter_R Hemisphere_R
152
+ 151 SS_L inf_DPWM_L InferiorWM_L WhiteMatter_L Telencephalon_L SS_L inf_DPWM_L InferiorWM_L WhiteMatter_L Hemisphere_L
153
+ 152 SS_R inf_DPWM_R InferiorWM_R WhiteMatter_R Telencephalon_R SS_R inf_DPWM_R InferiorWM_R WhiteMatter_R Hemisphere_R
154
+ 153 SFO_L ant_DPWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L SFO_L ant_DPWM_L AnteriorWM_L WhiteMatter_L Hemisphere_L
155
+ 154 SFO_R ant_DPWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R SFO_R ant_DPWM_R AnteriorWM_R WhiteMatter_R Hemisphere_R
156
+ 155 SLF_L PeripheralParietalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L SLF_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
157
+ 156 SLF_R PeripheralParietalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R SLF_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
158
+ 157 Cl_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Diencephalon_L Cl_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Hemisphere_L
159
+ 158 Cl_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Diencephalon_R Cl_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Hemisphere_R
160
+ 159 PosteriorBasalForebrain_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Diencephalon_L BasalForebrain_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Hemisphere_L
161
+ 160 PosteriorBasalForebrain_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Diencephalon_R BasalForebrain_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Hemisphere_R
162
+ 161 Mammillary_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Diencephalon_R Mammillary_R BasalForebrain_R BasalForebrain_R BasalForebrain_R Hemisphere_R
163
+ 162 Mammillary_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Diencephalon_L Mammillary_L BasalForebrain_L BasalForebrain_L BasalForebrain_L Hemisphere_L
164
+ 163 LV_Frontal_L AnteriorLateralVentricle_L LateralVentricle_L Ventricle CSF LV_Frontal_L AnteriorLateralVentricle_L LateralVentricle_L Ventricle CSF
165
+ 164 LV_body_L AnteriorLateralVentricle_L LateralVentricle_L Ventricle CSF LV_body_L AnteriorLateralVentricle_L LateralVentricle_L Ventricle CSF
166
+ 165 LV_atrium_L PosteriorLateralVentricle_L LateralVentricle_L Ventricle CSF LV_atrium_L PosteriorLateralVentricle_L LateralVentricle_L Ventricle CSF
167
+ 166 LV_Occipital_L PosteriorLateralVentricle_L LateralVentricle_L Ventricle CSF LV_Occipital_L PosteriorLateralVentricle_L LateralVentricle_L Ventricle CSF
168
+ 167 LV_Inferior_L InferiorLateralVentricle_L LateralVentricle_L Ventricle CSF LV_Inferior_L InferiorLateralVentricle_L LateralVentricle_L Ventricle CSF
169
+ 168 LV_Frontal_R AnteriorLateralVentricle_R LateralVentricle_R Ventricle CSF LV_Frontal_R AnteriorLateralVentricle_R LateralVentricle_R Ventricle CSF
170
+ 169 LV_body_R AnteriorLateralVentricle_R LateralVentricle_R Ventricle CSF LV_body_R AnteriorLateralVentricle_R LateralVentricle_R Ventricle CSF
171
+ 170 LV_atrium_R PosteriorLateralVentricle_R LateralVentricle_R Ventricle CSF LV_atrium_R PosteriorLateralVentricle_R LateralVentricle_R Ventricle CSF
172
+ 171 LV_Occipital_R PosteriorLateralVentricle_R LateralVentricle_R Ventricle CSF LV_Occipital_R PosteriorLateralVentricle_R LateralVentricle_R Ventricle CSF
173
+ 172 LV_Inferior_R InferiorLateralVentricle_R LateralVentricle_R Ventricle CSF LV_Inferior_R InferiorLateralVentricle_R LateralVentricle_R Ventricle CSF
174
+ 173 III_ventricle III_ventricle III_ventricle Ventricle CSF III_ventricle III_ventricle III_ventricle Ventricle CSF
175
+ 174 PVWa_L PVWa_L AnteriorWM_L WhiteMatter_L Telencephalon_L PVWa_L ant_DPWM_L AnteriorWM_L WhiteMatter_L Hemisphere_L
176
+ 175 PVWa_R PVWa_R AnteriorWM_R WhiteMatter_R Telencephalon_R PVWa_R ant_DPWM_R AnteriorWM_R WhiteMatter_R Hemisphere_R
177
+ 176 PVWp_L PVWp_L PosteriorWM_L WhiteMatter_L Telencephalon_L PVWp_L post_DPWM_L PosteriorWM_L WhiteMatter_L Hemisphere_L
178
+ 177 PVWp_R PVWp_R PosteriorWM_R WhiteMatter_R Telencephalon_R PVWp_R post_DPWM_R PosteriorWM_R WhiteMatter_R Hemisphere_R
179
+ 178 SFWM_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L SF_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
180
+ 179 SFWM_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R SF_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
181
+ 180 SFWM_PFC_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L SF_PFC_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
182
+ 181 SFWM_PFC_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R SF_PFC_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
183
+ 182 SFWM_pole_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L SF_pole_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
184
+ 183 SFWM_pole_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R SF_pole_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
185
+ 184 MFWM_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L MF_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
186
+ 185 MFWM_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R MF_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
187
+ 186 MFWM_DPFC_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L MF_DPFC_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
188
+ 187 MFWM_DPFC_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R MF_DPFC_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
189
+ 188 IFWM_opercularis_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L IF_opercularis_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
190
+ 189 IFWM_opercularis_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R IF_opercularis_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
191
+ 190 IFWM_orbitalis_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L IF_orbitalis_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
192
+ 191 IFWM_orbitalis_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R IF_orbitalis_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
193
+ 192 IFWM_triangularis_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L IF_triangularis_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
194
+ 193 IFWM_triangularis_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R IF_triangularis_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
195
+ 194 LFOWM_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L LFO_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
196
+ 195 LFOWM_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R LFO_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
197
+ 196 MFOWM_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L MFO_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
198
+ 197 MFOWM_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R MFO_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
199
+ 198 RGWM_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L R_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
200
+ 199 RGWM_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R R_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
201
+ 200 PoCWM_L PeripheralParietalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L PoC_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
202
+ 201 PoCWM_R PeripheralParietalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R PoC_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
203
+ 202 PrCWM_L PeripheralFrontalWM_L AnteriorWM_L WhiteMatter_L Telencephalon_L PrC_L Frontal_L Frontal_L Hemisphere_L Hemisphere_L
204
+ 203 PrCWM_R PeripheralFrontalWM_R AnteriorWM_R WhiteMatter_R Telencephalon_R PrC_R Frontal_R Frontal_R Hemisphere_R Hemisphere_R
205
+ 204 SPWM_L PeripheralParietalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L SP_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
206
+ 205 SPWM_R PeripheralParietalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R SP_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
207
+ 206 SMWM_L PeripheralParietalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L SM_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
208
+ 207 SMWM_R PeripheralParietalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R SM_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
209
+ 208 AGWM_L PeripheralParietalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L A_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
210
+ 209 AGWM_R PeripheralParietalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R A_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
211
+ 210 PrCuWM_L PeripheralParietalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L PrCu_L Parietal_L Parietal_L Hemisphere_L Hemisphere_L
212
+ 211 PrCuWM_R PeripheralParietalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R PrCu_R Parietal_R Parietal_R Hemisphere_R Hemisphere_R
213
+ 212 STWM_L PeripheralTemporalWM_L InferiorWM_L WhiteMatter_L Telencephalon_L ST_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
214
+ 213 STWM_R PeripheralTemporalWM_R InferiorWM_R WhiteMatter_R Telencephalon_R ST_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
215
+ 214 STWM_pole_L PeripheralTemporalWM_L InferiorWM_L WhiteMatter_L Telencephalon_L ST_L_pole Temporal_L Temporal_L Hemisphere_L Hemisphere_L
216
+ 215 STWM_pole_R PeripheralTemporalWM_R InferiorWM_R WhiteMatter_R Telencephalon_R ST_R_pole Temporal_R Temporal_R Hemisphere_R Hemisphere_R
217
+ 216 MTWM_L PeripheralTemporalWM_L InferiorWM_L WhiteMatter_L Telencephalon_L MT_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
218
+ 217 MTWM_R PeripheralTemporalWM_R InferiorWM_R WhiteMatter_R Telencephalon_R MT_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
219
+ 218 MTWM_pole_L PeripheralTemporalWM_L InferiorWM_L WhiteMatter_L Telencephalon_L MT_L_pole Temporal_L Temporal_L Hemisphere_L Hemisphere_L
220
+ 219 MTWM_pole_R PeripheralTemporalWM_R InferiorWM_R WhiteMatter_R Telencephalon_R MT_R_pole Temporal_R Temporal_R Hemisphere_R Hemisphere_R
221
+ 220 ITWM_L PeripheralTemporalWM_L InferiorWM_L WhiteMatter_L Telencephalon_L IT_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
222
+ 221 ITWM_R PeripheralTemporalWM_R InferiorWM_R WhiteMatter_R Telencephalon_R IT_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
223
+ 222 FuWM_L PeripheralTemporalWM_L InferiorWM_L WhiteMatter_L Telencephalon_L Fu_L Temporal_L Temporal_L Hemisphere_L Hemisphere_L
224
+ 223 FuWM_R PeripheralTemporalWM_R InferiorWM_R WhiteMatter_R Telencephalon_R Fu_R Temporal_R Temporal_R Hemisphere_R Hemisphere_R
225
+ 224 SOWM_L PeripheralOccipitalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L SO_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
226
+ 225 SOWM_R PeripheralOccipitalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R SO_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
227
+ 226 MOWM_L PeripheralOccipitalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L MO_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
228
+ 227 MOWM_R PeripheralOccipitalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R MO_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
229
+ 228 IOWM_L PeripheralOccipitalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L IO_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
230
+ 229 IOWM_R PeripheralOccipitalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R IO_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
231
+ 230 CuWM_L PeripheralOccipitalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L Cu_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
232
+ 231 CuWM_R PeripheralOccipitalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R Cu_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
233
+ 232 LGWM_L PeripheralOccipitalWM_L PosteriorWM_L WhiteMatter_L Telencephalon_L LG_L Occipital_L Occipital_L Hemisphere_L Hemisphere_L
234
+ 233 LGWM_R PeripheralOccipitalWM_R PosteriorWM_R WhiteMatter_R Telencephalon_R LG_R Occipital_R Occipital_R Hemisphere_R Hemisphere_R
235
+ 234 rostralWM_ACC_L PeripheralCingulateWM_L LimbicWM_L WhiteMatter_L Telencephalon_L rostral_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
236
+ 235 rostralWM_ACC_R PeripheralCingulateWM_R LimbicWM_R WhiteMatter_R Telencephalon_R rostral_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
237
+ 236 subcallosalWM_ACC_L PeripheralCingulateWM_L LimbicWM_L WhiteMatter_L Telencephalon_L subcallosal_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
238
+ 237 subcallosalWM_ACC_R PeripheralCingulateWM_R LimbicWM_R WhiteMatter_R Telencephalon_R subcallosal_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
239
+ 238 subgenualWM_ACC_L PeripheralCingulateWM_L LimbicWM_L WhiteMatter_L Telencephalon_L subgenual_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
240
+ 239 subgenualWM_ACC_R PeripheralCingulateWM_R LimbicWM_R WhiteMatter_R Telencephalon_R subgenual_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
241
+ 240 dorsalWM_ACC_L PeripheralCingulateWM_L LimbicWM_L WhiteMatter_L Telencephalon_L dorsal_ACC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
242
+ 241 dorsalWM_ACC_R PeripheralCingulateWM_R LimbicWM_R WhiteMatter_R Telencephalon_R dorsal_ACC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
243
+ 242 PCCWM_L PeripheralCingulateWM_L LimbicWM_L WhiteMatter_L Telencephalon_L PCC_L Cingulate_L Limbic_L Hemisphere_L Hemisphere_L
244
+ 243 PCCWM_R PeripheralCingulateWM_R LimbicWM_R WhiteMatter_R Telencephalon_R PCC_R Cingulate_R Limbic_R Hemisphere_R Hemisphere_R
245
+ 244 CerebellumWM_R CerebellumWM_R Cerebellum_R Metencephalon_R Metencephalon CerebellumWM_R CerebellumWM_R Cerebellum_R Cerebellum_R Cerebellum
246
+ 245 CerebellumWM_L CerebellumWM_L Cerebellum_L Metencephalon_L Metencephalon CerebellumWM_L CerebellumWM_L Cerebellum_L Cerebellum_L Cerebellum
247
+ 246 MCP_cb_L CerebellumWM_L Cerebellum_L Metencephalon_L Metencephalon CerebellumWM_L CerebellumWM_L Cerebellum_L Cerebellum_L Cerebellum
248
+ 247 MCP_cb_R CerebellumWM_R Cerebellum_R Metencephalon_R Metencephalon CerebellumWM_R CerebellumWM_R Cerebellum_R Cerebellum_R Cerebellum
249
+ 248 ICP_cb_L CerebellumWM_L Cerebellum_L Metencephalon_L Metencephalon CerebellumWM_L CerebellumWM_L Cerebellum_L Cerebellum_L Cerebellum
250
+ 249 ICP_cb_R CerebellumWM_R Cerebellum_R Metencephalon_R Metencephalon CerebellumWM_R CerebellumWM_R Cerebellum_R Cerebellum_R Cerebellum
251
+ 250 FrontSul_L FrontSul_L FrontSul_L Sulcus_L CSF FrontSul_L FrontSul_L FrontSul_L Sulcus_L CSF
252
+ 251 FrontSul_R FrontSul_R FrontSul_R Sulcus_R CSF FrontSul_R FrontSul_R FrontSul_R Sulcus_R CSF
253
+ 252 CentralSul_L CentralSul_L CentralSul_L Sulcus_L CSF CentralSul_L CentralSul_L CentralSul_L Sulcus_L CSF
254
+ 253 CentralSul_R CentralSul_R CentralSul_R Sulcus_R CSF CentralSul_R CentralSul_R CentralSul_R Sulcus_R CSF
255
+ 254 SylFrontSul_L SylFrontSul_L SylvianFissureExt_L Sulcus_L CSF SylAntInsularSul_L SylAntInsularSul_L FrontSul_L Sulcus_L CSF
256
+ 255 SylFrontSul_R SylFrontSul_R SylvianFissureExt_R Sulcus_R CSF SylAntInsularSul_R SylAntInsularSul_R FrontSul_R Sulcus_R CSF
257
+ 256 SylTempSul_L SylTempSul_L SylvianFissureExt_L Sulcus_L CSF SylPostInsularSul_L SylPostInsularSul_L TempSul_L Sulcus_L CSF
258
+ 257 SylTempSul_R SylTempSul_R SylvianFissureExt_R Sulcus_R CSF SylPostInsularSul_R SylPostInsularSul_R TempSul_R Sulcus_R CSF
259
+ 258 SylParieSul_L SylParieSul_L SylvianFissureExt_L Sulcus_L CSF SylExtSMG_L SylExtSMG_L ParietSul_L Sulcus_L CSF
260
+ 259 SylParieSul_R SylParieSul_R SylvianFissureExt_R Sulcus_R CSF SylExtSMG_R SylExtSMG_R ParietSul_R Sulcus_R CSF
261
+ 260 ParietSul_L ParietSul_L ParietSul_L Sulcus_L CSF ParietSul_L ParietSul_L ParietSul_L Sulcus_L CSF
262
+ 261 ParietSul_R ParietSul_R ParietSul_R Sulcus_R CSF ParietSul_R ParietSul_R ParietSul_R Sulcus_R CSF
263
+ 262 CinguSul_L CinguSul_L CinguSul_L Sulcus_L CSF CinguSul_L CinguSul_L CinguSul_L Sulcus_L CSF
264
+ 263 CinguSul_R CinguSul_R CinguSul_R Sulcus_R CSF CinguSul_R CinguSul_R CinguSul_R Sulcus_R CSF
265
+ 264 OcciptSul_L OcciptSul_L OcciptSul_L Sulcus_L CSF OcciptSul_L OcciptSul_L OcciptSul_L Sulcus_L CSF
266
+ 265 OcciptSul_R OcciptSul_R OcciptSul_R Sulcus_R CSF OcciptSul_R OcciptSul_R OcciptSul_R Sulcus_R CSF
267
+ 266 TempSul_L TempSul_L TempSul_L Sulcus_L CSF TempSul_L TempSul_L TempSul_L Sulcus_L CSF
268
+ 267 TempSul_R TempSul_R TempSul_R Sulcus_R CSF TempSul_R TempSul_R TempSul_R Sulcus_R CSF
269
+ 268 Caudate_tail_L Caudate_tail_L BasalGang_L CerebralNucli_L Telencephalon_L Caudate_tail_L Striatum_L BasalGang_L CerebralNucli_L Hemisphere_L
270
+ 269 Fimbria_L Hippo_L Limbic_L CerebralCortex_L Telencephalon_L Hippo_L Limbic_L Limbic_L Hemisphere_L Hemisphere_L
271
+ 270 Caudate_tail_R Caudate_tail_R BasalGang_R CerebralNucli_R Telencephalon_R Caudate_tail_R Striatum_R BasalGang_R CerebralNucli_R Hemisphere_R
272
+ 271 Fimbria_R Hippo_R Limbic_R CerebralCortex_R Telencephalon_R Hippo_R Limbic_R Limbic_R Hemisphere_R Hemisphere_R
273
+ 272 Chroid_LVetc_L AnteriorLateralVentricle_L LateralVentricle_L Ventricle CSF Chroid_LVetc_L AnteriorLateralVentricle_L LateralVentricle_L Ventricle CSF
274
+ 273 Chroid_LVetc_R AnteriorLateralVentricle_R LateralVentricle_R Ventricle CSF Chroid_LVetc_R AnteriorLateralVentricle_R LateralVentricle_R Ventricle CSF
275
+ 274 IV_ventricle IV_ventricle IV_ventricle Ventricle CSF IV_ventricle IV_ventricle IV_ventricle Ventricle CSF
276
+ 275 ECCL_L inf_DPWM_L InferiorWM_L WhiteMatter_L Telencephalon_L EC_L inf_DPWM_L InferiorWM_L WhiteMatter_L Hemisphere_L
277
+ 276 ECCL_R inf_DPWM_R InferiorWM_R WhiteMatter_R Telencephalon_R EC_R inf_DPWM_R InferiorWM_R WhiteMatter_R Hemisphere_R
278
+ 277 ECSAnterior_L ECSAnterior_L ECS_L ECS CSF ECSAnterior_L ECSAnterior_L ECS_L ECS CSF
279
+ 278 ECSAnterior_R ECSAnterior_R ECS_L ECS CSF ECSAnterior_R ECSAnterior_R ECS_L ECS CSF
280
+ 279 ECSPosterior_L ECSPosterior_L ECS_R ECS CSF ECSPosterior_L ECSPosterior_L ECS_R ECS CSF
281
+ 280 ECSPosterior_R ECSPosterior_R ECS_R ECS CSF ECSPosterior_R ECSPosterior_R ECS_R ECS CSF
level/OpenMAP-T1_multilevel_lookup_table_dictionary.csv ADDED
@@ -0,0 +1,281 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ROI#,Label,Region
2
+ 1,SFG_L,SUPERIOR FRONTAL GYRUS left
3
+ 2,SFG_R,SUPERIOR FRONTAL GYRUS right
4
+ 3,SFG_PFC_L,Superior frontal gyrus (prefrontal cortex) left
5
+ 4,SFG_PFC_R,Superior frontal gyrus (prefrontal cortex) right
6
+ 5,SFG_pole_L,superior frontal gyrus (frontal pole) left
7
+ 6,SFG_pole_R,superior frontal gyrus (frontal pole) right
8
+ 7,MFG_L,MIDDLE FRONTAL GYRUS left
9
+ 8,MFG_R,MIDDLE FRONTAL GYRUS right
10
+ 9,MFG_DPFC_L,Middle frontal gyrus (dorsal prefrontal cortex) left
11
+ 10,MFG_DPFC_R,Middle frontal gyrus (dorsal prefrontal cortex) right
12
+ 11,IFG_opercularis_L,inferior frontal gyrus pars opercularis left
13
+ 12,IFG_opercularis_R,inferior frontal gyrus pars opercularis right
14
+ 13,IFG_orbitalis_L,inferior frontal gyrus pars orbitralis left
15
+ 14,IFG_orbitalis_R,inferior frontal gyrus pars orbitralis right
16
+ 15,IFG_triangularis_L,inferior frontal gyrus pars triangularis left
17
+ 16,IFG_triangularis_R,inferior frontal gyrus pars triangularis right
18
+ 17,LFOG_L,LATERAL FRONTO-ORBITAL GYRUS left
19
+ 18,LFOG_R,LATERAL FRONTO-ORBITAL GYRUS right
20
+ 19,MFOG_L,MIDDLE FRONTO-ORBITAL GYRUS
21
+ 20,MFOG_R,MIDDLE FRONTO-ORBITAL GYRUS right
22
+ 21,RG_L,GYRUS RECTUS
23
+ 22,RG_R,GYRUS RECTUS right
24
+ 23,PoCG_L,POSTCENTRAL GYRUS left
25
+ 24,PoCG_R,POSTCENTRAL GYRUS right
26
+ 25,PrCG_L,PRECENTRAL GYRUS left
27
+ 26,PrCG_R,PRECENTRAL GYRUS right
28
+ 27,SPG_L,SUPERIOR PARIETAL GYRUS left
29
+ 28,SPG_R,SUPERIOR PARIETAL GYRUS right
30
+ 29,SMG_L,SUPRAMARGINAL GYRUS
31
+ 30,SMG_R,SUPRAMARGINAL GYRUS right
32
+ 31,AG_L,ANGULAR GYRUS left
33
+ 32,AG_R,ANGULAR GYRUS right
34
+ 33,PrCu_L,PRE-CUNEUS left
35
+ 34,PrCu_R,PRE-CUNEUS right
36
+ 35,STG_L,SUPERIOR TEMPORAL GYRUS left
37
+ 36,STG_R,SUPERIOR TEMPORAL GYRUS right
38
+ 37,STG_pole_L,Pole of the SUPERIOR TEMPORAL GYRUS left
39
+ 38,STG_pole_R,Pole of the SUPERIOR TEMPORAL GYRUS right
40
+ 39,MTG_L,MIDDLE TEMPORAL GYRUS left
41
+ 40,MTG_R,MIDDLE TEMPORAL GYRUS right
42
+ 41,MTG_pole_L,Pole of the MIDDLE TEMPORAL GYRUS left
43
+ 42,MTG_pole_R,Pole of the MIDDLE TEMPORAL GYRUS right
44
+ 43,ITG_L,INFERIOR TEMPORAL GYRUS left
45
+ 44,ITG_R,INFERIOR TEMPORAL GYRUS right
46
+ 45,PHG_L,PARAHIPPOCAMPAL GYRUS left
47
+ 46,PHG_R,PARAHIPPOCAMPAL GYRUS right
48
+ 47,ENT_L,ENTORHINAL AREA left
49
+ 48,ENT_R,ENTORHINAL AREA right
50
+ 49,FuG_L,FUSIFORM GYRUS left
51
+ 50,FuG_R,FUSIFORM GYRUS right
52
+ 51,SOG_L,SUPERIOR OCCIPITAL GYRUS left
53
+ 52,SOG_R,SUPERIOR OCCIPITAL GYRUS right
54
+ 53,MOG_L,MIDDLE OCCIPITAL GYRUS left
55
+ 54,MOG_R,MIDDLE OCCIPITAL GYRUS right
56
+ 55,IOG_L,INFERIOR OCCIPITAL GYRUS left
57
+ 56,IOG_R,INFERIOR OCCIPITAL GYRUS right
58
+ 57,Cu_L,CUNEUS left
59
+ 58,Cu_R,CUNEUS right
60
+ 59,LG_L,LINGUAL GYRUS left
61
+ 60,LG_R,LINGUAL GYRUS right
62
+ 61,rostral_ACC_L,rostral anterior cingulate gyrus left
63
+ 62,rostral_ACC_R,rostral anterior cingulate gyrus right
64
+ 63,subcallosal_ACC_L,subcallosal anterior cingulate gyrus left
65
+ 64,subcallosal_ACC_R,subcallosal anterior cingulate gyrus right
66
+ 65,subgenual_ACC_L,subgenual anterior cingulate gyrus left
67
+ 66,subgenual_ACC_R,subgenual anterior cingulate gyrus right
68
+ 67,dorsal_ACC_L,dorsal anterior cingulate gyrus left
69
+ 68,dorsal_ACC_R,dorsal anterior cingulate gyrus right
70
+ 69,PCC_L,posterior cingulate gyrus left
71
+ 70,PCC_R,posterior cingulate gyrus right
72
+ 71,Insula_L,INSULAR
73
+ 72,Insula_R,INSULAR right
74
+ 73,Amyg_L,AMYGDALA
75
+ 74,Amyg_R,AMYGDALA right
76
+ 75,Hippo_L,HIPPOCAMPUS
77
+ 76,Hippo_R,HIPPOCAMPUS right
78
+ 77,Caud_L,CAUDATE NUCLEUS left
79
+ 78,Caud_R,CAUDATE NUCLEUS right
80
+ 79,Put_L,PUTAMEN left
81
+ 80,Put_R,PUTAMEN right
82
+ 81,GP_L,GLOBUS PALLIDUS left
83
+ 82,GP_R,GLOBUS PALLIDUS right
84
+ 83,Thalamus_L,THALAMUS left
85
+ 84,Thalamus_R,THALAMUS right
86
+ 85,HypoThalamus_L,Hypothalamus left
87
+ 86,HypoThalamus_R,Hypothalamus right
88
+ 87,AnteriorBasalForebrain_L,AnteriorBasalForebrain_L
89
+ 88,AnteriorBasalForebrain_R,AnteriorBasalForebrain_R
90
+ 89,NucAccumbens_L,Nucleus accumbens left
91
+ 90,NucAccumbens_R,Nucleus accumbens right
92
+ 91,RedNc_L,Red Nucleus left
93
+ 92,RedNc_R,Red Nucleus right
94
+ 93,Snigra_L,Substancia Nigra left
95
+ 94,Snigra_R,Substancia Nigra right
96
+ 95,CerebellumGM_R,CEREBELLUM right
97
+ 96,CerebellumGM_L,CEREBELLUM
98
+ 97,CP_L,Cerebral peduncle left
99
+ 98,CP_R,Cerebral peduncle right
100
+ 99,Midbrain_L,MIDBRAIN left
101
+ 100,Midbrain_R,MIDBRAIN right
102
+ 101,CST_L,Corticospinal tract left
103
+ 102,CST_R,Corticospinal tract right
104
+ 103,SCP_L,Superior cerebellar peduncle left
105
+ 104,SCP_R,Superior cerebellar peduncle right
106
+ 105,MCP_L,Middle cerebellar peduncle left
107
+ 106,MCP_R,Middle cerebellar peduncle right
108
+ 107,PCT_L,Pontine crossing tract (a part of MCP) left
109
+ 108,PCT_R,Pontine crossing tract (a part of MCP) right
110
+ 109,ICP_L,Inferior cerebellar peduncle left
111
+ 110,ICP_R,Inferior cerebellar peduncle right
112
+ 111,ML_L,Medial lemniscus left
113
+ 112,ML_R,Medial lemniscus right
114
+ 113,Pons_L,PONS left
115
+ 114,Pons_R,PONS right
116
+ 115,Medulla_L,MEDULLA left
117
+ 116,Medulla_R,MEDULLA right
118
+ 117,ACR_L,Anterior corona radiata left
119
+ 118,ACR_R,Anterior corona radiata right
120
+ 119,SCR_L,Superior corona radiata left
121
+ 120,SCR_R,Superior corona radiata right
122
+ 121,PCR_L,Posterior corona radiata left
123
+ 122,PCR_R,Posterior corona radiata right
124
+ 123,GCC_L,Genu of corpus callosum left
125
+ 124,GCC_R,Genu of corpus callosum right
126
+ 125,BCC_L,Body of corpus callosum left
127
+ 126,BCC_R,Body of corpus callosum right
128
+ 127,SCC_L,Splenium of corpus callosum left
129
+ 128,SCC_R,Splenium of corpus callosum right
130
+ 129,PVWl_L,Tapatum left
131
+ 130,PVWl_R,Tapatum right
132
+ 131,ALIC_L,Anterior limb of internal capsule left
133
+ 132,ALIC_R,Anterior limb of internal capsule right
134
+ 133,PLIC_L,Posterior limb of internal capsule left
135
+ 134,PLIC_R,Posterior limb of internal capsule right
136
+ 135,RLIC_L,Retrolenticular part of internal capsule left
137
+ 136,RLIC_R,Retrolenticular part of internal capsule right
138
+ 137,EC_L,External capsule left
139
+ 138,EC_R,External capsule right
140
+ 139,CGC_L,Cingulum (cingulate gyrus) left
141
+ 140,CGC_R,Cingulum (cingulate gyrus) right
142
+ 141,CGH_L,Cingulum (hippocampus) left
143
+ 142,CGH_R,Cingulum (hippocampus) right
144
+ 143,Fx/ST_L,Fornix (cres) / Stria terminalis (can not be resolved with current resolution) left
145
+ 144,Fx/ST_R,Fornix (cres) / Stria terminalis (can not be resolved with current resolution) right
146
+ 145,Fx_L,Fornix (column and body of fornix) left
147
+ 146,Fx_R,Fornix (column and body of fornix) right
148
+ 147,IFO_L,Inferior fronto-occipital fasciculus left
149
+ 148,IFO_R,Inferior fronto-occipital fasciculus right
150
+ 149,PTR_L,Posterior thalamic radiation (include optic radiation) left
151
+ 150,PTR_R,Posterior thalamic radiation (include optic radiation) right
152
+ 151,SS_L,Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) left
153
+ 152,SS_R,Sagittal stratum (include inferior longitidinal fasciculus and inferior fronto-occipital fasciculus) right
154
+ 153,SFO_L,Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) left
155
+ 154,SFO_R,Superior fronto-occipital fasciculus (could be a part of anterior internal capsule) right
156
+ 155,SLF_L,Superior longitudinal fasciculus left
157
+ 156,SLF_R,Superior longitudinal fasciculus right
158
+ 157,Cl_L,Uncinate fasciculus left
159
+ 158,Cl_R,Uncinate fasciculus right
160
+ 159,PosteriorBasalForebrain_L,PosteriorBasalForebrain_L
161
+ 160,PosteriorBasalForebrain_R,PosteriorBasalForebrain_R
162
+ 161,Mammillary_R,Mammillary body left
163
+ 162,Mammillary_L,Mammillary body right
164
+ 163,LV_Frontal_L,Lateral ventricle_frontal left
165
+ 164,LV_body_L,Lateral ventricle_body_L
166
+ 165,LV_atrium_L,Lateral ventricle_atrium_L
167
+ 166,LV_Occipital_L,Lateral ventricle_Occipital_L
168
+ 167,LV_Inferior_L,Lateral ventricle_Inferior_L
169
+ 168,LV_Frontal_R,Lateral ventricle_Frontal_R
170
+ 169,LV_body_R,Lateral ventricle_body_R
171
+ 170,LV_atrium_R,Lateral ventricle_atrium_R
172
+ 171,LV_Occipital_R,Lateral ventricle_Occipital_R
173
+ 172,LV_Inferior_R,Lateral ventricle_Inferior_R
174
+ 173,III_ventricle,III and IV ventricle
175
+ 174,PVWa_L,Anterior periventricular white matter cap left
176
+ 175,PVWa_R,Anterior periventricular white matter cap right
177
+ 176,PVWp_L,Posterior periventricular white matter cap left
178
+ 177,PVWp_R,Posterior periventricular white matter cap right
179
+ 178,SFWM_L,SUPERIOR FRONTAL GYRUS white matter left
180
+ 179,SFWM_R,SUPERIOR FRONTAL GYRUS white matter right
181
+ 180,SFWM_PFC_L,Superior frontal gyrus (prefrontal cortex) white matter left
182
+ 181,SFWM_PFC_R,Superior frontal gyrus (prefrontal cortex) white matter right
183
+ 182,SFWM_pole_L,superior frontal gyrus (frontal pole) white matter left
184
+ 183,SFWM_pole_R,superior frontal gyrus (frontal pole) white matter right
185
+ 184,MFWM_L,MIDDLE FRONTAL GYRUS white matterleft
186
+ 185,MFWM_R,MIDDLE FRONTAL GYRUS white matterright
187
+ 186,MFWM_DPFC_L,Middle frontal gyrus (dorsal prefrontal cortex) white matter left
188
+ 187,MFWM_DPFC_R,Middle frontal gyrus (dorsal prefrontal cortex) white matterright
189
+ 188,IFWM_opercularis_L,inferior frontal gyrus pars opercularis white matter left
190
+ 189,IFWM_opercularis_R,inferior frontal gyrus pars opercularis white matter right
191
+ 190,IFWM_orbitalis_L,inferior frontal gyrus pars orbitralis white matter left
192
+ 191,IFWM_orbitalis_R,inferior frontal gyrus pars orbitralis white matter right
193
+ 192,IFWM_triangularis_L,inferior frontal gyrus pars triangularis white matter left
194
+ 193,IFWM_triangularis_R,inferior frontal gyrus pars triangularis white matter right
195
+ 194,LFOWM_L,LATERAL FRONTO-ORBITAL GYRUS white matter left
196
+ 195,LFOWM_R,LATERAL FRONTO-ORBITAL GYRUS white matter right
197
+ 196,MFOWM_L,MIDDLE FRONTO-ORBITAL GYRUS white matter left
198
+ 197,MFOWM_R,MIDDLE FRONTO-ORBITAL GYRUS white matter right
199
+ 198,RGWM_L,GYRUS RECTUS white matter left
200
+ 199,RGWM_R,GYRUS RECTUS white matter right
201
+ 200,PoCWM_L,POSTCENTRAL GYRUS white matter left
202
+ 201,PoCWM_R,POSTCENTRAL GYRUS white matter right
203
+ 202,PrCWM_L,PRECENTRAL GYRUS white matter left
204
+ 203,PrCWM_R,PRECENTRAL GYRUS white matter right
205
+ 204,SPWM_L,SUPERIOR PARIETAL GYRUS white matter left
206
+ 205,SPWM_R,SUPERIOR PARIETAL GYRUS white matter right
207
+ 206,SMWM_L,SUPRAMARGINAL GYRUS white matter left
208
+ 207,SMWM_R,SUPRAMARGINAL GYRUS white matter right
209
+ 208,AGWM_L,ANGULAR GYRUS white matter left
210
+ 209,AGWM_R,ANGULAR GYRUS white matter right
211
+ 210,PrCuWM_L,PRE-CUNEUS white matter left
212
+ 211,PrCuWM_R,PRE-CUNEUS white matter right
213
+ 212,STWM_L,SUPERIOR TEMPORAL GYRUS white matter left
214
+ 213,STWM_R,SUPERIOR TEMPORAL GYRUS white matter right
215
+ 214,STWM_pole_L,Pole of the SUPERIOR TEMPORAL GYRUS white matter left
216
+ 215,STWM_pole_R,Pole of the SUPERIOR TEMPORAL GYRUS white matter right
217
+ 216,MTWM_L,MIDDLE TEMPORAL GYRUS white matter left
218
+ 217,MTWM_R,MIDDLE TEMPORAL GYRUS white matter right
219
+ 218,MTWM_pole_L,Pole of the MIDDLE TEMPORAL GYRUS white matter left
220
+ 219,MTWM_pole_R,Pole of the MIDDLE TEMPORAL GYRUS white matter right
221
+ 220,ITWM_L,INFERIOR TEMPORAL GYRUS white matter left
222
+ 221,ITWM_R,INFERIOR TEMPORAL GYRUS white matter right
223
+ 222,FuWM_L,FUSIFORM GYRUS white matter left
224
+ 223,FuWM_R,FUSIFORM GYRUS white matter right
225
+ 224,SOWM_L,SUPERIOR OCCIPITAL GYRUS white matter left
226
+ 225,SOWM_R,SUPERIOR OCCIPITAL GYRUS white matter right
227
+ 226,MOWM_L,MIDDLE OCCIPITAL GYRUS white matter left
228
+ 227,MOWM_R,MIDDLE OCCIPITAL GYRUS white matter right
229
+ 228,IOWM_L,INFERIOR OCCIPITAL GYRUS white matter left
230
+ 229,IOWM_R,INFERIOR OCCIPITAL GYRUS white matter right
231
+ 230,CuWM_L,CUNEUS white matter left
232
+ 231,CuWM_R,CUNEUS white matter right
233
+ 232,LGWM_L,LINGUAL GYRUS white matter left
234
+ 233,LGWM_R,LINGUAL GYRUS white matter right
235
+ 234,rostralWM_ACC_L,rostral anterior cingulate gyrus white matter left
236
+ 235,rostralWM_ACC_R,rostral anterior cingulate gyrus white matter right
237
+ 236,subcallosalWM_ACC_L,subcallosal anterior cingulate gyrus white matter left
238
+ 237,subcallosalWM_ACC_R,subcallosal anterior cingulate gyrus white matter right
239
+ 238,subgenualWM_ACC_L,subgenual anterior cingulate gyrus white matter left
240
+ 239,subgenualWM_ACC_R,subgenual anterior cingulate gyrus white matter right
241
+ 240,dorsalWM_ACC_L,dorsal anterior cingulate gyrus white matter left
242
+ 241,dorsalWM_ACC_R,dorsal anterior cingulate gyrus white matter right
243
+ 242,PCCWM_L,posterior cingulate gyrus white matter left
244
+ 243,PCCWM_R,posterior cingulate gyrus white matter right
245
+ 244,CerebellumWM_R,Cerebellum white matter left
246
+ 245,CerebellumWM_L,Cerebellum white matter right
247
+ 246,MCP_cb_L,Middle cerebellar peduncle left
248
+ 247,MCP_cb_R,Middle cerebellar peduncle right
249
+ 248,ICP_cb_L,Inferior cerebellar peduncle (cerebellum part) left
250
+ 249,ICP_cb_R,Inferior cerebellar peduncle (cerebellum part) right
251
+ 250,FrontSul_L,Frontal sulcus left
252
+ 251,FrontSul_R,Frontal sulcus right
253
+ 252,CentralSul_L,Central sulcus left
254
+ 253,CentralSul_R,Central sulcus right
255
+ 254,SylFrontSul_L,Sylvian Fissure (Frontal rami) left
256
+ 255,SylFrontSul_R,Sylvian Fissure (Frontal rami) right
257
+ 256,SylTempSul_L,Sylvian Fissure (temporal rami) left
258
+ 257,SylTempSul_R,Sylvian Fissure (temporal rami) right
259
+ 258,SylParieSul_L,Sylvian Fissure (parietal rami) left
260
+ 259,SylParieSul_R,Sylvian Fissure (parietal rami) right
261
+ 260,ParietSul_L,Parietal sulcus left
262
+ 261,ParietSul_R,Parietal sulcus right
263
+ 262,CinguSul_L,Cingulate sulcus left
264
+ 263,CinguSul_R,Cingulate sulcus right
265
+ 264,OcciptSul_L,Occipital sulcus left
266
+ 265,OcciptSul_R,Occipital sulcus right
267
+ 266,TempSul_L,Temporal sulcus left
268
+ 267,TempSul_R,Temporal sulcus right
269
+ 268,Caudate_tail_L,Caudate_tail_L
270
+ 269,Fimbria_L,Fimbria_L
271
+ 270,Caudate_tail_R,Caudate_tail_R
272
+ 271,Fimbria_R,Fimbria_R
273
+ 272,Chroid_LVetc_L,Choroid plexus LV left
274
+ 273,Chroid_LVetc_R,Choroid plexus LV right
275
+ 274,IV_ventricle,IVth ventricle
276
+ 275,ECCL_L,External capsule and claustrum left
277
+ 276,ECCL_R,External capsule and claustrum right
278
+ 277,ECSAnterior_L,Superior subarachnoid space anterior left
279
+ 278,ECSAnterior_R,Superior subarachnoid space anterior right
280
+ 279,ECSPosterior_L,Superior subarachnoid space posterior left
281
+ 280,ECSPosterior_R,Superior subarachnoid space posterior right
requirements.txt ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ aiofiles==24.1.0
2
+ annotated-types==0.7.0
3
+ anyio==4.9.0
4
+ certifi==2025.1.31
5
+ charset-normalizer==3.4.1
6
+ click==8.1.8
7
+ fastapi==0.115.12
8
+ ffmpy==0.5.0
9
+ filelock==3.18.0
10
+ fsspec==2025.3.2
11
+ gradio==5.25.0
12
+ gradio_client==1.8.0
13
+ groovy==0.1.2
14
+ h11==0.14.0
15
+ httpcore==1.0.8
16
+ httpx==0.28.1
17
+ huggingface-hub==0.30.2
18
+ idna==3.10
19
+ Jinja2==3.1.6
20
+ markdown-it-py==3.0.0
21
+ MarkupSafe==3.0.2
22
+ mdurl==0.1.2
23
+ mpmath==1.3.0
24
+ networkx==3.4.2
25
+ nibabel==5.3.2
26
+ numpy==2.2.4
27
+ orjson==3.10.16
28
+ packaging==24.2
29
+ pandas==2.2.3
30
+ pillow==11.2.1
31
+ pydantic==2.11.3
32
+ pydantic_core==2.33.1
33
+ pydub==0.25.1
34
+ Pygments==2.19.1
35
+ python-dateutil==2.9.0.post0
36
+ python-multipart==0.0.20
37
+ pytz==2025.2
38
+ PyYAML==6.0.2
39
+ requests==2.32.3
40
+ rich==14.0.0
41
+ ruff==0.11.5
42
+ safehttpx==0.1.6
43
+ scipy==1.15.2
44
+ semantic-version==2.10.0
45
+ setuptools==78.1.0
46
+ shellingham==1.5.4
47
+ SimpleITK==2.4.1
48
+ six==1.17.0
49
+ sniffio==1.3.1
50
+ starlette==0.46.2
51
+ sympy==1.13.1
52
+ tomlkit==0.13.2
53
+ torch==2.6.0
54
+ torchaudio==2.6.0
55
+ torchvision==0.21.0
56
+ tqdm==4.67.1
57
+ typer==0.15.2
58
+ typing-inspection==0.4.0
59
+ typing_extensions==4.13.2
60
+ tzdata==2025.2
61
+ urllib3==2.4.0
62
+ uvicorn==0.34.1
63
+ websockets==15.0.1
src/parcellation.py ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import tempfile
3
+ from functools import partial
4
+
5
+ import gradio as gr
6
+ import nibabel as nib
7
+ import numpy as np
8
+ import torch
9
+ from tqdm import tqdm as std_tqdm
10
+
11
+ tqdm = partial(std_tqdm, dynamic_ncols=True)
12
+
13
+ # 必要なモジュールのインポート
14
+ from utils.cropping import cropping
15
+ from utils.functions import reimburse_conform
16
+ from utils.hemisphere import hemisphere
17
+ from utils.load_model import load_model
18
+ from utils.make_csv import make_csv
19
+ from utils.make_level import create_parcellated_images
20
+ from utils.parcellation import parcellation
21
+ from utils.postprocessing import postprocessing
22
+ from utils.preprocessing import preprocessing
23
+ from utils.stripping import stripping
24
+
25
+ # モデルは起動時に一度読み込む
26
+ MODELS = {}
27
+
28
+
29
+ def load_all_models(device):
30
+ model_folder = "model/" # 学習済みモデルは model/ に配置している前提
31
+ try:
32
+ # load_model 内部が argparse.Namespace 等を前提の場合、必要な属性が使われるなら適宜オブジェクトを用意してください
33
+ # ここでは opt を使わないように必要最低限の修正例を示しています。
34
+ models = load_model(model_folder=model_folder, opt=None, device=device)
35
+ return models # (cnet, ssnet, pnet_c, pnet_s, pnet_a, hnet_c, hnet_a)
36
+ except Exception as e:
37
+ print("Error during model loading:", e)
38
+ return None
39
+
40
+
41
+ def run_inference(input_file, only_face_cropping, only_skull_stripping):
42
+ # 一時ディレクトリの作成
43
+ tmp_input_dir = tempfile.mkdtemp()
44
+ tmp_output_dir = tempfile.mkdtemp()
45
+
46
+ # アップロードされたファイルを一時フォルダに保存
47
+ basename = os.path.splitext(os.path.basename(input_file.name))[0]
48
+ input_path = os.path.join(tmp_input_dir, f"{basename}.nii")
49
+ with open(input_path, "wb") as f:
50
+ f.write(input_file.read())
51
+
52
+ # Gradio用のオプションオブジェクト(オリジナルコードの argparse.Namespace 相当)
53
+ class Options:
54
+ pass
55
+
56
+ opt = Options()
57
+ opt.i = tmp_input_dir # 入力ディレクトリを指定
58
+ opt.o = tmp_output_dir # 出力ディレクトリを指定
59
+ # ここでは学習済みモデルフォルダを固定で "model/" に設定
60
+ opt.m = "model/"
61
+ opt.only_face_cropping = only_face_cropping
62
+ opt.only_skull_stripping = only_skull_stripping
63
+
64
+ # デバイス選択
65
+ if torch.cuda.is_available():
66
+ device = torch.device("cuda")
67
+ elif torch.backends.mps.is_available():
68
+ device = torch.device("mps")
69
+ else:
70
+ device = torch.device("cpu")
71
+ print(f"Using device: {device}")
72
+
73
+ # 初回のみモデルを読み込み(キャッシュ)
74
+ global MODELS
75
+ if not MODELS:
76
+ MODELS = load_all_models(device)
77
+ if MODELS is None:
78
+ return "モデルの読み込みに失敗しました。"
79
+ cnet, ssnet, pnet_c, pnet_s, pnet_a, hnet_c, hnet_a = MODELS
80
+
81
+ # --- 以下、元のparcellation.py の処理フローに準じた処理 ---
82
+ # 1. 入力画像の読み込み・キャノニカル化・squeeze
83
+ odata = nib.squeeze_image(nib.as_closest_canonical(nib.load(input_path)))
84
+ nii = nib.Nifti1Image(odata.get_fdata().astype(np.float32), affine=odata.affine)
85
+ os.makedirs(os.path.join(tmp_output_dir, "original"), exist_ok=True)
86
+ nib.save(nii, os.path.join(tmp_output_dir, f"original/{basename}.nii"))
87
+
88
+ # 2. 前処理
89
+ odata, data = preprocessing(input_path, tmp_output_dir, basename)
90
+
91
+ # 3. クロッピング
92
+ cropped = cropping(tmp_output_dir, basename, odata, data, cnet, device)
93
+ if only_face_cropping:
94
+ return os.path.join(tmp_output_dir, f"{basename}_cropped.nii")
95
+
96
+ # 4. スキルストリッピング
97
+ stripped, shift = stripping(tmp_output_dir, basename, cropped, odata, data, ssnet, device)
98
+ if only_skull_stripping:
99
+ return os.path.join(tmp_output_dir, f"{basename}_stripped.nii")
100
+
101
+ # 5. パーセレーション
102
+ parcellated = parcellation(stripped, pnet_c, pnet_s, pnet_a, device)
103
+ # 6. 両半球に分離
104
+ separated = hemisphere(stripped, hnet_c, hnet_a, device)
105
+ # 7. 後処理
106
+ output = postprocessing(parcellated, separated, shift, device)
107
+ # 8. CSV作成(体積情報等)
108
+ df = make_csv(output, tmp_output_dir, basename)
109
+ # 9. パーセル結果のNIfTI作成と保存
110
+ nii_out = nib.Nifti1Image(output.astype(np.uint16), affine=data.affine)
111
+ header = odata.header
112
+ nii_out = nib.processing.conform(
113
+ nii_out,
114
+ out_shape=(header["dim"][1], header["dim"][2], header["dim"][3]),
115
+ voxel_size=(header["pixdim"][1], header["pixdim"][2], header["pixdim"][3]),
116
+ order=0,
117
+ )
118
+ out_parcellated_dir = os.path.join(tmp_output_dir, "parcellated")
119
+ os.makedirs(out_parcellated_dir, exist_ok=True)
120
+ out_filename = os.path.join(out_parcellated_dir, f"{basename}_Type1_Level5.nii")
121
+ nib.save(nii_out, out_filename)
122
+ create_parcellated_images(output, tmp_output_dir, basename, odata, data)
123
+
124
+ # 必要に応じて、一時ファイルの削除等の処理を追加してください
125
+
126
+ # 最終結果のNIfTIファイルのパスを返す
127
+ return out_filename
128
+
129
+
130
+ # Gradioインターフェースの作成(モデルフォルダの入力は不要)
131
+ iface = gr.Interface(
132
+ fn=run_inference,
133
+ inputs=[
134
+ gr.File(label="Input NIfTI File (.nii or .nii.gz)"),
135
+ gr.Checkbox(label="Only Face Cropping", value=False),
136
+ gr.Checkbox(label="Only Skull Stripping", value=False),
137
+ ],
138
+ outputs=gr.File(label="Output Parcellated NIfTI File"),
139
+ title="OpenMAP-T1 Inference",
140
+ description="学習済みモデルは model/ に配置されています。\nアップロードされたMRI画像に対してOpenMAP-T1の処理を行い、パーセル結果を返します。",
141
+ )
142
+
143
+ if __name__ == "__main__":
144
+ iface.launch()
src/utils/cropping.py ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ import torch
3
+ from scipy.ndimage import binary_closing
4
+
5
+ from utils.functions import normalize, reimburse_conform
6
+
7
+
8
+ def crop(voxel, model, device):
9
+ """
10
+ Crops the given voxel data using the provided model and device.
11
+
12
+ Args:
13
+ voxel (numpy.ndarray): The input voxel data to be cropped, expected to be of shape (N, 256, 256).
14
+ model (torch.nn.Module): The PyTorch model used for cropping.
15
+ device (torch.device): The device (CPU or GPU) on which the computation will be performed.
16
+
17
+ Returns:
18
+ torch.Tensor: The cropped output tensor of shape (256, 256, 256).
19
+ """
20
+ model.eval()
21
+ with torch.inference_mode():
22
+ output = torch.zeros(256, 256, 256).to(device)
23
+ for i, v in enumerate(voxel):
24
+ image = v.reshape(1, 1, 256, 256)
25
+ image = torch.tensor(image).to(device)
26
+ x_out = torch.sigmoid(model(image)).detach()
27
+ output[i] = x_out
28
+ return output.reshape(256, 256, 256)
29
+
30
+
31
+ def closing(voxel):
32
+ """
33
+ Perform a binary closing operation on a 3D voxel array.
34
+
35
+ This function applies a binary closing operation using a 3x3x3 structuring element
36
+ and performs the operation for a specified number of iterations.
37
+
38
+ Parameters:
39
+ voxel (numpy.ndarray): A 3D numpy array representing the voxel data to be processed.
40
+
41
+ Returns:
42
+ numpy.ndarray: The voxel data after the binary closing operation.
43
+ """
44
+ selem = np.ones((3, 3, 3), dtype="bool")
45
+ voxel = binary_closing(voxel, structure=selem, iterations=3)
46
+ return voxel
47
+
48
+
49
+ def cropping(output_dir, basename, odata, data, cnet, device):
50
+ """
51
+ Crops the input medical imaging data using a neural network model.
52
+
53
+ Args:
54
+ data (nibabel.Nifti1Image): The input medical imaging data in NIfTI format.
55
+ cnet (torch.nn.Module): The neural network model used for cropping.
56
+ device (torch.device): The device (CPU or GPU) on which the model is run.
57
+
58
+ Returns:
59
+ numpy.ndarray: The cropped medical imaging data.
60
+ """
61
+ voxel = data.get_fdata().astype("float32")
62
+ voxel = normalize(voxel)
63
+
64
+ coronal = voxel.transpose(1, 2, 0)
65
+ sagittal = voxel
66
+ out_c = crop(coronal, cnet, device).permute(2, 0, 1)
67
+ out_s = crop(sagittal, cnet, device)
68
+ out_e = ((out_c + out_s) / 2) > 0.5
69
+ out_e = out_e.cpu().numpy()
70
+ out_e = closing(out_e)
71
+ cropped = data.get_fdata().astype("float32") * out_e
72
+
73
+ reimburse_conform(output_dir, basename, "cropped", odata, data, out_e)
74
+
75
+ return cropped
src/utils/functions.py ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+
3
+ import nibabel as nib
4
+ import numpy as np
5
+ from nibabel import processing
6
+
7
+
8
+ def normalize(voxel):
9
+ nonzero = voxel[voxel > 0]
10
+ voxel = np.clip(voxel, 0, np.mean(nonzero) + np.std(nonzero) * 2)
11
+ voxel = (voxel - np.min(voxel)) / (np.max(voxel) - np.min(voxel))
12
+ voxel = (voxel * 2) - 1
13
+ return voxel.astype("float32")
14
+
15
+ def reimburse_conform(output_dir, basename, suffix, odata, data, output):
16
+ nii = nib.Nifti1Image(output.astype(np.uint16), affine=data.affine)
17
+ header = odata.header
18
+ nii = processing.conform(
19
+ nii,
20
+ out_shape=(header["dim"][1], header["dim"][2], header["dim"][3]),
21
+ voxel_size=(header["pixdim"][1], header["pixdim"][2], header["pixdim"][3]),
22
+ order=0,
23
+ )
24
+ os.makedirs(os.path.join(output_dir, f"{suffix}"), exist_ok=True)
25
+ nib.save(nii, os.path.join(output_dir, f"{suffix}/{basename}_{suffix}_mask.nii"))
26
+
27
+ result = odata.get_fdata().astype("float32") * nii.get_fdata().astype("int16")
28
+ nii = nib.Nifti1Image(result.astype(np.float32), affine=odata.affine)
29
+ nib.save(nii, os.path.join(output_dir, f"{suffix}/{basename}_{suffix}.nii"))
30
+ return
src/utils/hemisphere.py ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import torch
2
+ from scipy.ndimage import binary_dilation
3
+
4
+ from utils.functions import normalize
5
+
6
+
7
+ def separate(voxel, model, device, mode):
8
+ """
9
+ Separates the voxel data based on the specified mode and processes it using the given model.
10
+
11
+ Args:
12
+ voxel (list or numpy.ndarray): The input voxel data to be processed.
13
+ model (torch.nn.Module): The neural network model used for processing the voxel data.
14
+ device (torch.device): The device (CPU or GPU) on which the model and data are loaded.
15
+ mode (str): The mode of separation, either 'c' for coronal or 'a' for axial.
16
+
17
+ Returns:
18
+ torch.Tensor: The processed output tensor with shape (stack[0], 3, stack[1], stack[2]).
19
+ """
20
+ if mode == "c":
21
+ # Set the stack dimensions for coronal mode
22
+ stack = (224, 192, 192)
23
+ elif mode == "a":
24
+ # Set the stack dimensions for axial mode
25
+ stack = (192, 224, 192)
26
+
27
+ # Set the model to evaluation mode
28
+ model.eval()
29
+
30
+ # Disable gradient calculation for inference
31
+ with torch.inference_mode():
32
+ # Initialize an output tensor with the specified stack dimensions
33
+ output = torch.zeros(stack[0], 3, stack[1], stack[2]).to(device)
34
+
35
+ # Iterate over each slice in the voxel data
36
+ for i, v in enumerate(voxel):
37
+ # Reshape the slice and convert it to a tensor
38
+ image = torch.tensor(v.reshape(1, 1, stack[1], stack[2]))
39
+ # Move the tensor to the specified device
40
+ image = image.to(device)
41
+ # Perform a forward pass through the model and apply softmax
42
+ x_out = torch.softmax(model(image), 1).detach()
43
+ # Store the output in the corresponding slice of the output tensor
44
+ output[i] = x_out
45
+
46
+ # Return the processed output tensor
47
+ return output
48
+
49
+
50
+ def hemisphere(voxel, hnet_c, hnet_a, device):
51
+ """
52
+ Processes a voxel image to separate and dilate hemispheres using neural networks.
53
+
54
+ Args:
55
+ voxel (torch.Tensor): The input voxel image tensor.
56
+ hnet_c (torch.nn.Module): The neural network model for coronal separation.
57
+ hnet_a (torch.nn.Module): The neural network model for transverse separation.
58
+ device (torch.device): The device to run the neural networks on (e.g., 'cpu' or 'cuda').
59
+
60
+ Returns:
61
+ numpy.ndarray: The processed and dilated mask of the hemispheres.
62
+ """
63
+ # Normalize the voxel data
64
+ voxel = normalize(voxel)
65
+
66
+ # Transpose the voxel data for coronal and transverse views
67
+ coronal = voxel.transpose(1, 2, 0)
68
+ transverse = voxel.transpose(2, 1, 0)
69
+
70
+ # Separate the coronal and transverse views using the respective models
71
+ out_c = separate(coronal, hnet_c, device, "c").permute(1, 3, 0, 2)
72
+ out_a = separate(transverse, hnet_a, device, "a").permute(1, 3, 2, 0)
73
+
74
+ # Combine the outputs from both views
75
+ out_e = out_c + out_a
76
+
77
+ # Get the final output by taking the argmax along the first dimension
78
+ out_e = torch.argmax(out_e, 0).cpu().numpy()
79
+
80
+ # Clear the CUDA cache
81
+ torch.cuda.empty_cache()
82
+
83
+ # Perform binary dilation on the mask for class 1
84
+ dilated_mask_1 = binary_dilation(out_e == 1, iterations=5).astype("int16")
85
+ dilated_mask_1[out_e == 2] = 2
86
+
87
+ # Perform binary dilation on the mask for class 2
88
+ dilated_mask_2 = binary_dilation(dilated_mask_1 == 2, iterations=5).astype("int16") * 2
89
+ dilated_mask_2[dilated_mask_1 == 1] = 1
90
+
91
+ # Return the final dilated mask
92
+ return dilated_mask_2
src/utils/load_model.py ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+
3
+ import torch
4
+
5
+ from utils.network import UNet
6
+
7
+ CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
8
+ PROJECT_ROOT = os.path.abspath(os.path.join(CURRENT_DIR, "..", ".."))
9
+
10
+
11
+ def load_model(opt, device):
12
+ """
13
+ This function loads multiple pre-trained models and sets them to evaluation mode.
14
+ The models loaded are:
15
+ 1. CNet: A U-Net model for some specific task.
16
+ 2. SSNet: Another U-Net model for a different task.
17
+ 3. PNet coronal: A U-Net model for coronal plane predictions.
18
+ 4. PNet sagittal: A U-Net model for sagittal plane predictions.
19
+ 5. PNet axial: A U-Net model for axial plane predictions.
20
+ 6. HNet coronal: A U-Net model for coronal plane predictions with different input/output channels.
21
+ 7. HNet axial: A U-Net model for axial plane predictions with different input/output channels.
22
+
23
+ Parameters:
24
+ opt (object): An options object containing model paths.
25
+ device (torch.device): The device on which to load the models (CPU or GPU).
26
+
27
+ Returns:
28
+ tuple: A tuple containing all the loaded models.
29
+ """
30
+ if os.path.isabs(opt.m):
31
+ model_dir = opt.m
32
+ else:
33
+ model_dir = os.path.join(PROJECT_ROOT, opt.m)
34
+
35
+ # Load CNet model
36
+ cnet = UNet(1, 1)
37
+ cnet.load_state_dict(torch.load(os.path.join(model_dir, "CNet", "CNet.pth"), weights_only=True))
38
+ cnet.to(device)
39
+ cnet.eval()
40
+
41
+ # Load SSNet model
42
+ ssnet = UNet(1, 1)
43
+ ssnet.load_state_dict(
44
+ torch.load(os.path.join(model_dir, "SSNet", "SSNet.pth"), weights_only=True)
45
+ )
46
+ ssnet.to(device)
47
+ ssnet.eval()
48
+
49
+ # Load PNet coronal model
50
+ pnet_c = UNet(3, 142)
51
+ pnet_c.load_state_dict(
52
+ torch.load(os.path.join(model_dir, "PNet", "coronal.pth"), weights_only=True)
53
+ )
54
+ pnet_c.to(device)
55
+ pnet_c.eval()
56
+
57
+ # Load PNet sagittal model
58
+ pnet_s = UNet(3, 142)
59
+ pnet_s.load_state_dict(
60
+ torch.load(os.path.join(model_dir, "PNet", "sagittal.pth"), weights_only=True)
61
+ )
62
+ pnet_s.to(device)
63
+ pnet_s.eval()
64
+
65
+ # Load PNet axial model
66
+ pnet_a = UNet(3, 142)
67
+ pnet_a.load_state_dict(
68
+ torch.load(os.path.join(model_dir, "PNet", "axial.pth"), weights_only=True)
69
+ )
70
+ pnet_a.to(device)
71
+ pnet_a.eval()
72
+
73
+ # Load HNet coronal model
74
+ hnet_c = UNet(1, 3)
75
+ hnet_c.load_state_dict(
76
+ torch.load(os.path.join(model_dir, "HNet", "coronal.pth"), weights_only=True)
77
+ )
78
+ hnet_c.to(device)
79
+ hnet_c.eval()
80
+
81
+ # Load HNet axial model
82
+ hnet_a = UNet(1, 3)
83
+ hnet_a.load_state_dict(
84
+ torch.load(os.path.join(model_dir, "HNet", "axial.pth"), weights_only=True)
85
+ )
86
+ hnet_a.to(device)
87
+ hnet_a.eval()
88
+
89
+ # Return all loaded models
90
+ return cnet, ssnet, pnet_c, pnet_s, pnet_a, hnet_c, hnet_a
src/utils/make_csv.py ADDED
@@ -0,0 +1,114 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ from collections import defaultdict
3
+
4
+ import numpy as np
5
+ import pandas as pd
6
+
7
+ # このファイルのあるディレクトリの絶対パスを取得し、そこから level ディレクトリへの絶対パスを作成
8
+ CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
9
+ LEVEL_DIR = os.path.abspath(os.path.join(CURRENT_DIR, "..", "..", "level"))
10
+
11
+
12
+ def change_level(df, level="Type1_Level1", sulcus=True):
13
+ """
14
+ Change the level of the given DataFrame based on specified ROI levels.
15
+
16
+ Parameters:
17
+ df (pd.DataFrame): The input DataFrame to be modified.
18
+ level (str): The level to which the DataFrame should be changed. Default is "Type1_Level1".
19
+ sulcus (bool): A flag indicating whether to include sulcus regions. Default is True.
20
+
21
+ Returns:
22
+ pd.DataFrame: The modified DataFrame with the specified level changes applied.
23
+ """
24
+ # LEVEL_DIR を基準に CSV ファイルの絶対パスを作成
25
+ ROI_number = pd.read_csv(os.path.join(LEVEL_DIR, "Level_ROI_No.csv"))
26
+ ROI_name = pd.read_csv(os.path.join(LEVEL_DIR, "Level_ROI_Name.csv"))
27
+
28
+ if sulcus == False:
29
+ tmp = ROI_number["Type1_Level2"]
30
+ ROI_number = ROI_number[tmp != 18]
31
+ ROI_number = ROI_number[tmp != 19]
32
+ ROI_name = ROI_name[tmp != 18]
33
+ ROI_name = ROI_name[tmp != 19]
34
+ data = dict(zip(ROI_number["ROI"], ROI_number[level]))
35
+ level_dict = defaultdict(list)
36
+ for key, value in data.items():
37
+ level_dict[str(value)].append(key)
38
+
39
+ change_df_list = []
40
+ for i, (key, value) in enumerate(level_dict.items()):
41
+ name = ROI_name[level].unique()[i]
42
+ change_df_list.append(df[value].sum(axis=1).rename(name))
43
+
44
+ change_df = pd.concat(change_df_list, axis=1)
45
+ return change_df
46
+
47
+
48
+ def make_csv(parcellation, output_dir, basename):
49
+ """
50
+ Generates multiple CSV files containing volume data for different levels of parcellation.
51
+
52
+ Parameters:
53
+ parcellation (numpy.ndarray): The parcellation data array where each unique integer represents a different region.
54
+ output_dir (str): The directory where the output CSV files will be saved.
55
+ basename (str): The base name for the output CSV files.
56
+
57
+ Returns:
58
+ pandas.DataFrame: The DataFrame containing volume data for Type1_Level5.
59
+ """
60
+ # LEVEL_DIR を基準にテキストファイルの絶対パスを作成
61
+ csv_path = os.path.join(LEVEL_DIR, "Level5.txt")
62
+ df_Type1_level5 = (
63
+ pd.read_table(csv_path, names=["number", "region"]).astype("str").set_index("number")
64
+ )
65
+ for i in range(1, 281):
66
+ volume = np.count_nonzero(parcellation == i)
67
+ df_Type1_level5.loc[str(i), basename] = volume
68
+
69
+ df_Type1_level5 = df_Type1_level5.set_index("region").T.reset_index(drop=True)
70
+ df_Type1_level4 = change_level(df_Type1_level5, level="Type1_Level4")
71
+ df_Type1_level3 = change_level(df_Type1_level5, level="Type1_Level3")
72
+ df_Type1_level2 = change_level(df_Type1_level5, level="Type1_Level2")
73
+ df_Type1_level1 = change_level(df_Type1_level5, level="Type1_Level1")
74
+
75
+ df_Type2_level5 = change_level(df_Type1_level5, level="Type2_Level5")
76
+ df_Type2_level4 = change_level(df_Type1_level5, level="Type2_Level4")
77
+ df_Type2_level3 = change_level(df_Type1_level5, level="Type2_Level3")
78
+ df_Type2_level2 = change_level(df_Type1_level5, level="Type2_Level2")
79
+ df_Type2_level1 = change_level(df_Type1_level5, level="Type2_Level1")
80
+
81
+ os.makedirs(os.path.join(output_dir, "csv"), exist_ok=True)
82
+ df_Type1_level5.to_csv(
83
+ os.path.join(output_dir, f"csv/{basename}_Type1_Level5.csv"), index=False
84
+ )
85
+ df_Type1_level4.to_csv(
86
+ os.path.join(output_dir, f"csv/{basename}_Type1_Level4.csv"), index=False
87
+ )
88
+ df_Type1_level3.to_csv(
89
+ os.path.join(output_dir, f"csv/{basename}_Type1_Level3.csv"), index=False
90
+ )
91
+ df_Type1_level2.to_csv(
92
+ os.path.join(output_dir, f"csv/{basename}_Type1_Level2.csv"), index=False
93
+ )
94
+ df_Type1_level1.to_csv(
95
+ os.path.join(output_dir, f"csv/{basename}_Type1_Level1.csv"), index=False
96
+ )
97
+
98
+ df_Type2_level5.to_csv(
99
+ os.path.join(output_dir, f"csv/{basename}_Type2_Level5.csv"), index=False
100
+ )
101
+ df_Type2_level4.to_csv(
102
+ os.path.join(output_dir, f"csv/{basename}_Type2_Level4.csv"), index=False
103
+ )
104
+ df_Type2_level3.to_csv(
105
+ os.path.join(output_dir, f"csv/{basename}_Type2_Level3.csv"), index=False
106
+ )
107
+ df_Type2_level2.to_csv(
108
+ os.path.join(output_dir, f"csv/{basename}_Type2_Level2.csv"), index=False
109
+ )
110
+ df_Type2_level1.to_csv(
111
+ os.path.join(output_dir, f"csv/{basename}_Type2_Level1.csv"), index=False
112
+ )
113
+
114
+ return df_Type1_level5
src/utils/make_level.py ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+
3
+ import nibabel as nib
4
+ import numpy as np
5
+ import pandas as pd
6
+ from nibabel import processing
7
+
8
+ CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
9
+ PROJECT_ROOT = os.path.abspath(os.path.join(CURRENT_DIR, "..", ".."))
10
+ LEVEL_DIR = os.path.join(PROJECT_ROOT, "level")
11
+
12
+
13
+ def create_parcellated_images(output, output_dir, basename, odata, data):
14
+ """
15
+ Creates parcellated segmentation images for each specified level based on a mapping
16
+ read from CSV files. The mapping is recalculated for each level using the original image labels.
17
+
18
+ Parameters:
19
+ output (numpy.ndarray): The image data array after calling .get_fdata() (contains Type1_Level5 labels).
20
+ output_dir (str): The output directory path.
21
+ basename (str): The base name for the output files.
22
+ affine (numpy.ndarray, optional): The affine matrix for the image. If None, np.eye(4) is used.
23
+
24
+ The CSV files are read from:
25
+ ../level/Level_ROI_No.csv and ../level/Level_ROI_Name.csv
26
+ The mapping is created from df_no where:
27
+ - Keys: values in the 'Type1_Level5' column (original labels)
28
+ - Values: values in the column corresponding to the current level (e.g., 'Type1_Level1', etc.)
29
+
30
+ The output NIfTI files are saved as:
31
+ os.path.join(output_dir, f"parcellated/{basename}_{level}.nii")
32
+ """
33
+
34
+ # CSVファイルのパスを LEVEL_DIR を基準に作成
35
+ df_no = pd.read_csv(os.path.join(LEVEL_DIR, "Level_ROI_No.csv"))
36
+ df_name = pd.read_csv(os.path.join(LEVEL_DIR, "Level_ROI_Name.csv"))
37
+
38
+ # List of target levels (exclude "Type1_Level5" since it is the input label type)
39
+ all_level = [
40
+ "Type1_Level1",
41
+ "Type1_Level2",
42
+ "Type1_Level3",
43
+ "Type1_Level4",
44
+ "Type2_Level1",
45
+ "Type2_Level2",
46
+ "Type2_Level3",
47
+ "Type2_Level4",
48
+ "Type2_Level5",
49
+ ]
50
+
51
+ # Process each target level
52
+ for level in all_level:
53
+ # Create mapping: original labels (from Type1_Level5) to new labels for the current level
54
+ mapping = dict(zip(df_no["Type1_Level5"], df_no[level]))
55
+
56
+ # Create a copy of the original image data to avoid in-place modification
57
+ label = np.copy(output)
58
+
59
+ # Apply mapping to the entire image data
60
+ for old, new in mapping.items():
61
+ label[label == old] = new
62
+
63
+ # Create a NIfTI image with the new labels (casting to uint16) and save it
64
+ nii = nib.Nifti1Image(label.astype(np.uint16), affine=data.affine)
65
+ header = odata.header
66
+ nii = processing.conform(
67
+ nii,
68
+ out_shape=(header["dim"][1], header["dim"][2], header["dim"][3]),
69
+ voxel_size=(header["pixdim"][1], header["pixdim"][2], header["pixdim"][3]),
70
+ order=0,
71
+ )
72
+
73
+ # Construct the output file path and ensure the directory exists
74
+ os.makedirs(os.path.join(output_dir, "parcellated"), exist_ok=True)
75
+ nib.save(nii, os.path.join(output_dir, f"parcellated/{basename}_{level}.nii"))
src/utils/network.py ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from typing import List
2
+
3
+ import torch
4
+ import torch.nn as nn
5
+
6
+
7
+ class ConvBlock(nn.Module):
8
+ def __init__(self, ch_in, ch_out):
9
+ super(ConvBlock, self).__init__()
10
+ self.conv1 = nn.Conv2d(
11
+ ch_in, ch_out, kernel_size=3, stride=1, padding=1, bias=False
12
+ )
13
+ self.conv2 = nn.Conv2d(
14
+ ch_out, ch_out, kernel_size=3, stride=1, padding=1, bias=False
15
+ )
16
+ nn.init.normal_(self.conv1.weight, mean=0.0, std=0.02)
17
+ nn.init.normal_(self.conv2.weight, mean=0.0, std=0.02)
18
+ self.batchnorm1 = nn.BatchNorm2d(ch_out)
19
+ self.batchnorm2 = nn.BatchNorm2d(ch_out)
20
+ self.relu = nn.ReLU()
21
+
22
+ def forward(self, x):
23
+ h = self.relu(self.batchnorm1(self.conv1(x)))
24
+ h = self.relu(self.batchnorm2(self.conv2(h)))
25
+ return h
26
+
27
+
28
+ class EncodeBlock(nn.Module):
29
+ def __init__(self, ch_in, ch_out):
30
+ super(EncodeBlock, self).__init__()
31
+ self.conv = ConvBlock(ch_in, ch_out)
32
+ self.pool = nn.MaxPool2d((2, 2))
33
+
34
+ def forward(self, x):
35
+ skip = self.conv(x)
36
+ h = self.pool(skip)
37
+ return h, skip
38
+
39
+
40
+ class DecodeBlock(nn.Module):
41
+ def __init__(self, ch_in, ch_out):
42
+ super(DecodeBlock, self).__init__()
43
+ self.up = nn.ConvTranspose2d(
44
+ ch_in, ch_out, kernel_size=2, stride=2, padding=0, bias=True
45
+ )
46
+ self.conv = ConvBlock(ch_out * 2, ch_out)
47
+
48
+ def forward(self, x, skip):
49
+ h = self.up(x)
50
+ h = self.conv(torch.cat([h, skip], dim=1))
51
+ return h
52
+
53
+
54
+ class UNet(nn.Module):
55
+ def __init__(self, ch_in, ch_out):
56
+ super(UNet, self).__init__()
57
+ self.econv0 = nn.Conv2d(
58
+ ch_in, 64, kernel_size=1, stride=1, padding=0, bias=True
59
+ )
60
+ nn.init.normal_(self.econv0.weight, mean=0.0, std=0.02)
61
+
62
+ self.econv1 = self.make_downblock(64, 64)
63
+ self.econv2 = self.make_downblock(64, 128)
64
+ self.econv3 = self.make_downblock(128, 256)
65
+ self.econv4 = self.make_downblock(256, 512)
66
+ self.bottle = self.make_bottleblock(512, 1024)
67
+ self.dconv4 = self.make_upblock(1024, 512)
68
+ self.dconv3 = self.make_upblock(512, 256)
69
+ self.dconv2 = self.make_upblock(256, 128)
70
+ self.dconv1 = self.make_upblock(128, 64)
71
+
72
+ self.dconv0 = nn.Conv2d(
73
+ 64, ch_out, kernel_size=1, stride=1, padding=0, bias=True
74
+ )
75
+ nn.init.normal_(self.dconv0.weight, mean=0.0, std=0.02)
76
+
77
+ def make_downblock(self, ch_in, ch_out):
78
+ return EncodeBlock(ch_in=ch_in, ch_out=ch_out)
79
+
80
+ def make_bottleblock(self, ch_in, ch_out):
81
+ return ConvBlock(ch_in=ch_in, ch_out=ch_out)
82
+
83
+ def make_upblock(self, ch_in, ch_out):
84
+ return DecodeBlock(ch_in=ch_in, ch_out=ch_out)
85
+
86
+ def forward(self, x):
87
+ x = self.econv0(x)
88
+ x, skip1 = self.econv1(x)
89
+ x, skip2 = self.econv2(x)
90
+ x, skip3 = self.econv3(x)
91
+ x, skip4 = self.econv4(x)
92
+ x = self.bottle(x)
93
+ x = self.dconv4(x, skip4)
94
+ x = self.dconv3(x, skip3)
95
+ x = self.dconv2(x, skip2)
96
+ x = self.dconv1(x, skip1)
97
+ x = self.dconv0(x)
98
+ return x
src/utils/parcellation.py ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ import torch
3
+
4
+ from utils.functions import normalize
5
+
6
+
7
+ def parcellate(voxel, model, device, mode):
8
+ """
9
+ Parcellates a given voxel volume using a specified model and mode.
10
+
11
+ Args:
12
+ voxel (numpy.ndarray): The input voxel volume to be parcellated.
13
+ model (torch.nn.Module): The neural network model used for parcellation.
14
+ device (torch.device): The device (CPU or GPU) on which the model is run.
15
+ mode (str): The mode of parcellation. Can be 'c', 's', or 'a', which determines the stack dimensions.
16
+
17
+ Returns:
18
+ torch.Tensor: The parcellated voxel volume.
19
+ """
20
+ if mode == "c":
21
+ stack = (224, 192, 192)
22
+ elif mode == "s":
23
+ stack = (192, 224, 192)
24
+ elif mode == "a":
25
+ stack = (192, 224, 192)
26
+
27
+ # Set the model to evaluation mode
28
+ model.eval()
29
+
30
+ # Pad the voxel volume to handle edge cases
31
+ voxel = np.pad(voxel, [(1, 1), (0, 0), (0, 0)], "constant", constant_values=voxel.min())
32
+
33
+ # Disable gradient calculation for inference
34
+ with torch.inference_mode():
35
+ # Initialize an empty tensor to store the parcellation results
36
+ box = torch.zeros(stack[0], 142, stack[1], stack[2])
37
+
38
+ # Iterate over each slice in the stack dimension
39
+ for i in range(1, stack[0] + 1):
40
+ # Stack three consecutive slices to form the input image
41
+ image = np.stack([voxel[i - 1], voxel[i], voxel[i + 1]])
42
+ image = torch.tensor(image.reshape(1, 3, stack[1], stack[2]))
43
+ image = image.to(device)
44
+
45
+ # Perform the forward pass through the model and apply softmax
46
+ x_out = torch.softmax(model(image), 1).detach().cpu()
47
+
48
+ # Store the output in the corresponding slice of the box tensor
49
+ box[i - 1] = x_out
50
+
51
+ # Reshape the box tensor to the desired output shape
52
+ return box.reshape(stack[0], 142, stack[1], stack[2])
53
+
54
+
55
+ def parcellation(voxel, pnet_c, pnet_s, pnet_a, device):
56
+ """
57
+ Perform parcellation on the given voxel data using provided neural networks for coronal, sagittal, and axial views.
58
+
59
+ Args:
60
+ voxel (torch.Tensor): The input 3D voxel data to be parcellated.
61
+ pnet_c (torch.nn.Module): The neural network model for coronal view parcellation.
62
+ pnet_s (torch.nn.Module): The neural network model for sagittal view parcellation.
63
+ pnet_a (torch.nn.Module): The neural network model for axial view parcellation.
64
+ device (torch.device): The device (CPU or GPU) to perform computations on.
65
+
66
+ Returns:
67
+ numpy.ndarray: The parcellated output as a numpy array.
68
+ """
69
+ # Normalize the voxel data
70
+ voxel = normalize(voxel)
71
+
72
+ # Prepare the voxel data for different views
73
+ coronal = voxel.transpose(1, 2, 0)
74
+ sagittal = voxel
75
+ axial = voxel.transpose(2, 1, 0)
76
+
77
+ # Perform parcellation for the coronal view
78
+ out_c = parcellate(coronal, pnet_c, device, "c").permute(1, 3, 0, 2)
79
+ torch.cuda.empty_cache()
80
+
81
+ # Perform parcellation for the sagittal view
82
+ out_s = parcellate(sagittal, pnet_s, device, "s").permute(1, 0, 2, 3)
83
+ torch.cuda.empty_cache()
84
+
85
+ # Combine the results from coronal and sagittal views
86
+ out_e = out_c + out_s
87
+ del out_c, out_s
88
+
89
+ # Perform parcellation for the axial view
90
+ out_a = parcellate(axial, pnet_a, device, "a").permute(1, 3, 2, 0)
91
+ torch.cuda.empty_cache()
92
+
93
+ # Combine the results from all views
94
+ out_e = out_e + out_a
95
+ del out_a
96
+
97
+ # Get the final parcellated output by taking the argmax
98
+ parcellated = torch.argmax(out_e, 0).numpy()
99
+
100
+ return parcellated
src/utils/postprocessing.py ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import pickle
3
+
4
+ import numpy as np
5
+ import torch
6
+
7
+ # このファイル(postprocessing.py)のあるディレクトリを取得
8
+ CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
9
+ # split_map.pkl は同じディレクトリ内にあるため、CURRENT_DIR を基にパスを作成
10
+ SPLIT_MAP_PATH = os.path.join(CURRENT_DIR, "split_map.pkl")
11
+
12
+
13
+ def postprocessing(parcellated, separated, shift, device):
14
+ # 絶対パスを用いて split_map.pkl を読み込む
15
+ with open(SPLIT_MAP_PATH, "rb") as tf:
16
+ dictionary = pickle.load(tf)
17
+
18
+ pmap = torch.tensor(parcellated.astype("int16"), requires_grad=False).to(device)
19
+ hmap = torch.tensor(separated.astype("int16"), requires_grad=False).to(device)
20
+ combined = torch.stack((torch.flatten(hmap), torch.flatten(pmap)), axis=-1)
21
+ output = torch.zeros_like(hmap).ravel()
22
+ for key, value in dictionary.items():
23
+ key = torch.tensor(key, requires_grad=False).to(device)
24
+ mask = torch.all(combined == key, axis=1)
25
+ output[mask] = value
26
+ output = output.reshape(hmap.shape)
27
+ output = output.cpu().detach().numpy()
28
+ output = output * (
29
+ np.logical_or(np.logical_or(separated > 0, parcellated == 87), parcellated == 138)
30
+ )
31
+ output = np.pad(output, [(32, 32), (16, 16), (32, 32)], "constant", constant_values=0)
32
+ output = np.roll(output, (-shift[0], -shift[1], -shift[2]), axis=(0, 1, 2))
33
+ return output
src/utils/preprocessing.py ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+
3
+ import nibabel as nib
4
+ import SimpleITK as sitk
5
+ from nibabel import processing
6
+ from nibabel.orientations import aff2axcodes, axcodes2ornt, ornt_transform
7
+
8
+
9
+ def N4_Bias_Field_Correction(input_path, output_path):
10
+ """
11
+ Perform N4 Bias Field Correction on an input image and save the corrected image to the specified output path.
12
+
13
+ Args:
14
+ input_path (str): Path to the input image file.
15
+ output_path (str): Path to save the corrected image file.
16
+
17
+ Returns:
18
+ None
19
+ """
20
+ raw_img_sitk = sitk.ReadImage(input_path, sitk.sitkFloat32)
21
+ transformed = sitk.RescaleIntensity(raw_img_sitk, 0, 255)
22
+ transformed = sitk.LiThreshold(transformed, 0, 1)
23
+ head_mask = transformed
24
+ shrinkFactor = 4
25
+ inputImage = sitk.Shrink(raw_img_sitk, [shrinkFactor] * raw_img_sitk.GetDimension())
26
+ maskImage = sitk.Shrink(head_mask, [shrinkFactor] * raw_img_sitk.GetDimension())
27
+ bias_corrector = sitk.N4BiasFieldCorrectionImageFilter()
28
+ corrected = bias_corrector.Execute(inputImage, maskImage)
29
+ log_bias_field = bias_corrector.GetLogBiasFieldAsImage(raw_img_sitk)
30
+ corrected_image_full_resolution = raw_img_sitk / sitk.Exp(log_bias_field)
31
+ sitk.WriteImage(corrected_image_full_resolution, output_path)
32
+ return
33
+
34
+
35
+ def preprocessing(ipath, output_dir, basename):
36
+ """
37
+ Preprocesses a medical image by performing N4 bias field correction and conforming the image to a specified shape and voxel size.
38
+
39
+ Args:
40
+ ipath (str): The input file path of the medical image to be processed.
41
+ output_dir (str): The directory where the processed image will be saved.
42
+ basename (str): The base name for the output file.
43
+
44
+ Returns:
45
+ tuple: A tuple containing:
46
+ - odata (nibabel.Nifti1Image): The N4 bias field corrected image.
47
+ - data (nibabel.Nifti1Image): The conformed image with specified shape and voxel size.
48
+ """
49
+ opath = os.path.join(output_dir, f"original/{basename}_N4.nii")
50
+ N4_Bias_Field_Correction(ipath, opath)
51
+ odata = nib.squeeze_image(nib.as_closest_canonical(nib.load(opath)))
52
+ data = processing.conform(odata, out_shape=(256, 256, 256), voxel_size=(1.0, 1.0, 1.0), order=1)
53
+ return odata, data
src/utils/split_map.pkl ADDED
Binary file (7.15 kB). View file
 
src/utils/stripping.py ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ import torch
3
+ from scipy import ndimage
4
+
5
+ from utils.functions import normalize, reimburse_conform
6
+
7
+
8
+ def strip(voxel, model, device):
9
+ """
10
+ Applies a given model to a 3D voxel array and returns the processed output.
11
+
12
+ Args:
13
+ voxel (numpy.ndarray): A 3D numpy array of shape (256, 256, 256) representing the input voxel data.
14
+ model (torch.nn.Module): A PyTorch model to be used for processing the voxel data.
15
+ device (torch.device): The device (CPU or GPU) on which the model and data should be loaded.
16
+
17
+ Returns:
18
+ torch.Tensor: A 3D tensor of shape (256, 256, 256) containing the processed output.
19
+ """
20
+ # Set the model to evaluation mode
21
+ model.eval()
22
+
23
+ # Disable gradient calculation for inference
24
+ with torch.inference_mode():
25
+ # Initialize an empty tensor to store the output
26
+ output = torch.zeros(256, 256, 256).to(device)
27
+
28
+ # Iterate over each slice in the voxel data
29
+ for i, v in enumerate(voxel):
30
+ # Reshape the slice to match the model's input dimensions
31
+ image = v.reshape(1, 1, 256, 256)
32
+
33
+ # Convert the numpy array to a PyTorch tensor and move it to the specified device
34
+ image = torch.tensor(image).to(device)
35
+
36
+ # Apply the model to the input image and apply the sigmoid activation function
37
+ x_out = torch.sigmoid(model(image)).detach()
38
+
39
+ # Store the output in the corresponding slice of the output tensor
40
+ output[i] = x_out
41
+
42
+ # Reshape the output tensor to the original voxel dimensions and return it
43
+ return output.reshape(256, 256, 256)
44
+
45
+
46
+ def stripping(output_dir, basename, voxel, odata, data, ssnet, device):
47
+ """
48
+ Perform brain stripping on a given voxel using a specified neural network.
49
+
50
+ This function normalizes the input voxel, applies brain stripping in three anatomical planes
51
+ (coronal, sagittal, and axial), and combines the results to produce a final stripped brain image.
52
+ The stripped image is then centered and cropped.
53
+
54
+ Args:
55
+ voxel (numpy.ndarray): The input 3D voxel data to be stripped.
56
+ data (nibabel.Nifti1Image): The original neuroimaging data.
57
+ ssnet (torch.nn.Module): The neural network model used for brain stripping.
58
+ device (torch.device): The device on which the neural network model is loaded (e.g., CPU or GPU).
59
+
60
+ Returns:
61
+ tuple: A tuple containing:
62
+ - stripped (numpy.ndarray): The stripped and processed brain image.
63
+ - (xd, yd, zd) (tuple of int): The shifts applied to center the brain image in the x, y, and z directions.
64
+ """
65
+ # Normalize the input voxel data
66
+ voxel = normalize(voxel)
67
+
68
+ # Prepare the voxel data in three anatomical planes: coronal, sagittal, and axial
69
+ coronal = voxel.transpose(1, 2, 0)
70
+ sagittal = voxel
71
+ axial = voxel.transpose(2, 1, 0)
72
+
73
+ # Apply the brain stripping model to each plane
74
+ out_c = strip(coronal, ssnet, device).permute(2, 0, 1)
75
+ out_s = strip(sagittal, ssnet, device)
76
+ out_a = strip(axial, ssnet, device).permute(2, 1, 0)
77
+
78
+ # Combine the results from the three planes and threshold the output
79
+ out_e = ((out_c + out_s + out_a) / 3) > 0.5
80
+ out_e = out_e.cpu().numpy()
81
+
82
+ # Multiply the original data by the thresholded output to get the stripped brain image
83
+ stripped = data.get_fdata().astype("float32") * out_e
84
+
85
+ reimburse_conform(output_dir, basename, "stripped", odata, data, out_e)
86
+
87
+ # Calculate the center of mass of the stripped brain image
88
+ x, y, z = map(int, ndimage.center_of_mass(out_e))
89
+
90
+ # Calculate the shifts needed to center the brain image
91
+ xd = 128 - x
92
+ yd = 120 - y
93
+ zd = 128 - z
94
+
95
+ # Apply the shifts to center the brain image
96
+ stripped = np.roll(stripped, (xd, yd, zd), axis=(0, 1, 2))
97
+
98
+ # Crop the centered brain image
99
+ stripped = stripped[32:-32, 16:-16, 32:-32]
100
+
101
+ # Return the stripped brain image and the shifts applied
102
+ return stripped, (xd, yd, zd)