72 white matter bundles segmented by 7 different methods in one HCP subject
Authors/Creators
- 1. Division of Medical Image Computing, German Cancer Research Center
Description
This dataset contains segmentations of 72 white matter tracts from 7 different automatic segmentation methods for one subject (623844) from the Human Connectome Project (HCP) young adult dataset (https://www.humanconnectome.org/study/hcp-young-adult). Segmentations are given for the original HCP data ("HCP Quality") and for a downsampled version of the HCP data with reduced resolution (2.5mm isotrop) and less gradients (32x b=1000mm/s^2) ("Clinical Quality").
The data is part of the following project: https://github.com/MIC-DKFZ/TractSeg/
If you use the data please cite the paper mentioned on the project page.
Each file is 4D nifti image. The 4th dimension determines the bundle:
1: AF_left (Arcuate fascicle)
2: AF_right
3: ATR_left (Anterior Thalamic Radiation)
4: ATR_right
5: CA (Commissure Anterior)
6: CC_1 (Rostrum)
7: CC_2 (Genu)
8: CC_3 (Rostral body (Premotor))
9: CC_4 (Anterior midbody (Primary Motor))
10: CC_5 (Posterior midbody (Primary Somatosensory))
11: CC_6 (Isthmus)
12: CC_7 (Splenium)
13: CG_left (Cingulum left)
14: CG_right
15: CST_left (Corticospinal tract
16: CST_right
17: MLF_left (Middle longitudinal fascicle)
18: MLF_right
19: FPT_left (Fronto-pontine tract)
20: FPT_right
21: FX_left (Fornix)
22: FX_right
23: ICP_left (Inferior cerebellar peduncle)
24: ICP_right
25: IFO_left (Inferior occipito-frontal fascicle)
26: IFO_right
27: ILF_left (Inferior longitudinal fascicle)
28: ILF_right
29: MCP (Middle cerebellar peduncle)
30: OR_left (Optic radiation)
31: OR_right
32: POPT_left (Parieto‐occipital pontine)
33: POPT_right
34: SCP_left (Superior cerebellar peduncle)
35: SCP_right
36: SLF_I_left (Superior longitudinal fascicle I)
37: SLF_I_right
38: SLF_II_left (Superior longitudinal fascicle II)
39: SLF_II_right
40: SLF_III_left (Superior longitudinal fascicle III)
41: SLF_III_right
42: STR_left (Superior Thalamic Radiation)
43: STR_right
44: UF_left (Uncinate fascicle)
45: UF_right
46: CC (Corpus Callosum - all)
47: T_PREF_left (Thalamo-prefrontal)
48: T_PREF_right
49: T_PREM_left (Thalamo-premotor)
50: T_PREM_right
51: T_PREC_left (Thalamo-precentral)
52: T_PREC_right
53: T_POSTC_left (Thalamo-postcentral)
54: T_POSTC_right
55: T_PAR_left (Thalamo-parietal)
56: T_PAR_right
57: T_OCC_left (Thalamo-occipital)
58: T_OCC_right
59: ST_FO_left (Striato-fronto-orbital)
60: ST_FO_right
61: ST_PREF_left (Striato-prefrontal)
62: ST_PREF_right
63: ST_PREM_left (Striato-premotor)
64: ST_PREM_right
65: ST_PREC_left (Striato-precentral)
66: ST_PREC_right
67: ST_POSTC_left (Striato-postcentral)
68: ST_POSTC_right
69: ST_PAR_left (Striato-parietal)
70: ST_PAR_right
71: ST_OCC_left (Striato-occipital)
72: ST_OCC_right
Files
72_bundles_7_methods_one_subject.zip
Files
(14.7 MB)
| Name | Size | Download all |
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md5:a74127e2aa87ef2323ec90f92c0800c4
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Additional details
References
- Wasserthal et al.: Tractseg - fast and accurate white matter tract segmentation.arXiv:1805.07103 (2018)