Published June 12, 2018 | Version 1.1.0

72 white matter bundles segmented by 7 different methods in one HCP subject

  • 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)

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Additional details

References

  • Wasserthal et al.: Tractseg - fast and accurate white matter tract segmentation.arXiv:1805.07103 (2018)