Datasets:
scan_id stringlengths 9 12 | subset stringclasses 4
values | modality stringclasses 7
values | modality_full stringlengths 3 15 | modality_type stringclasses 1
value | subject stringclasses 8
values | split stringclasses 1
value | source_archive stringclasses 4
values | license stringclasses 2
values | ixi_image_overlap bool 2
classes | image_shape stringclasses 8
values | num_slices int32 22 256 | voxel_spacing stringclasses 7
values | brain_voxels int64 21.4k 6.88M | slice_index int32 8 165 | image imagewidth (px) 64 512 | mask imagewidth (px) 64 512 | overlay imagewidth (px) 64 512 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
asl_epi_110 | asl | epi | PCASL 2D-EPI | MRI | 110 | validation | HCP-Aging / MGH in-house (PCASL) | CC BY 4.0 | false | 64x64x22 | 22 | 3.44x3.44x5.0 | 24,722 | 10 | |||
asl_epi_120 | asl | epi | PCASL 2D-EPI | MRI | 120 | validation | HCP-Aging / MGH in-house (PCASL) | CC BY 4.0 | false | 64x64x22 | 22 | 3.44x3.44x5.0 | 21,398 | 8 | |||
asl_t1_110 | asl | t1 | T1w MPRAGE | MRI | 110 | validation | HCP-Aging / MGH in-house (PCASL) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,635,440 | 137 | |||
asl_t1_120 | asl | t1 | T1w MPRAGE | MRI | 120 | validation | HCP-Aging / MGH in-house (PCASL) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,513,257 | 109 | |||
fsm_pd_02cd | fsm | pd | PDw 3D-FLASH | MRI | 02cd | validation | FreeSurfer Maintenance (MGH in-house) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,529,924 | 125 | |||
fsm_pd_24dz | fsm | pd | PDw 3D-FLASH | MRI | 24dz | validation | FreeSurfer Maintenance (MGH in-house) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,457,092 | 156 | |||
fsm_qt1_02cd | fsm | qt1 | qT1 MP2RAGE | MRI | 02cd | validation | FreeSurfer Maintenance (MGH in-house) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,529,798 | 125 | |||
fsm_qt1_24dz | fsm | qt1 | qT1 MP2RAGE | MRI | 24dz | validation | FreeSurfer Maintenance (MGH in-house) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,457,194 | 156 | |||
fsm_t2_02cd | fsm | t2 | T2w 3D-SPACE | MRI | 02cd | validation | FreeSurfer Maintenance (MGH in-house) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,529,812 | 125 | |||
fsm_t2_24dz | fsm | t2 | T2w 3D-SPACE | MRI | 24dz | validation | FreeSurfer Maintenance (MGH in-house) | CC BY 4.0 | false | 256x256x256 | 256 | 1.0x1.0x1.0 | 1,456,858 | 156 | |||
ixi_mra_016 | ixi | mra | MRA | MRI | 016 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 512x512x100 | 100 | 0.47x0.47x0.8 | 6,879,777 | 54 | |||
ixi_mra_017 | ixi | mra | MRA | MRI | 017 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 512x512x100 | 100 | 0.47x0.47x0.8 | 6,764,540 | 62 | |||
ixi_pd_016 | ixi | pd | PDw MRI | MRI | 016 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 256x256x120 | 120 | 0.94x0.94x1.2 | 1,438,539 | 62 | |||
ixi_pd_017 | ixi | pd | PDw MRI | MRI | 017 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 256x256x125 | 125 | 0.94x0.94x1.2 | 1,537,122 | 61 | |||
ixi_t1_016 | ixi | t1 | T1w MRI | MRI | 016 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 150x256x256 | 256 | 1.2x0.94x0.94 | 1,434,213 | 165 | |||
ixi_t1_017 | ixi | t1 | T1w MRI | MRI | 017 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 150x256x256 | 256 | 1.2x0.94x0.94 | 1,535,413 | 139 | |||
ixi_t2_016 | ixi | t2 | T2w MRI | MRI | 016 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 256x256x120 | 120 | 0.94x0.94x1.2 | 1,436,694 | 62 | |||
ixi_t2_017 | ixi | t2 | T2w MRI | MRI | 017 | validation | IXI (Imperial College London) | CC BY-SA 4.0 | true | 256x256x125 | 125 | 0.94x0.94x1.2 | 1,537,901 | 61 | |||
qin_flair_01 | qin | flair | T2-FLAIR 2D-FSE | MRI | 01 | validation | QIN-GBM-Treatment-Response (TCIA) | CC BY 4.0 | false | 432x512x23 | 23 | 0.43x0.43x6.0 | 1,613,806 | 11 | |||
qin_flair_02 | qin | flair | T2-FLAIR 2D-FSE | MRI | 02 | validation | QIN-GBM-Treatment-Response (TCIA) | CC BY 4.0 | false | 432x512x23 | 23 | 0.43x0.43x6.0 | 1,282,872 | 11 | |||
qin_t1_01 | qin | t1 | T1w 2D-FLASH | MRI | 01 | validation | QIN-GBM-Treatment-Response (TCIA) | CC BY 4.0 | false | 432x512x23 | 23 | 0.43x0.43x6.0 | 1,591,510 | 11 | |||
qin_t1_02 | qin | t1 | T1w 2D-FLASH | MRI | 02 | validation | QIN-GBM-Treatment-Response (TCIA) | CC BY 4.0 | false | 432x512x23 | 23 | 0.43x0.43x6.0 | 1,261,569 | 11 | |||
qin_t2_01 | qin | t2 | T2w 2D-FSE | MRI | 01 | validation | QIN-GBM-Treatment-Response (TCIA) | CC BY 4.0 | false | 256x256x24 | 24 | 1.0x1.0x5.0 | 297,497 | 11 | |||
qin_t2_02 | qin | t2 | T2w 2D-FSE | MRI | 02 | validation | QIN-GBM-Treatment-Response (TCIA) | CC BY 4.0 | false | 256x256x24 | 24 | 1.0x1.0x5.0 | 242,584 | 12 |
SynthStrip
The SynthStrip dataset is a collection of full-head brain scans paired with manually-refined binary brain masks, assembled by the FreeSurfer / Martinos Center team to evaluate the SynthStrip brain-extraction (skull-stripping) tool across a wide range of contrasts, resolutions, and subject populations (newborns to glioblastoma patients).
Scope of this mirror — read before use. The full SynthStrip release spans 622 MRI, PET, and CT scans. This repository contains the 582 redistributable image + brain-mask pairs, which are entirely MRI. The reason is specific: the only PET/CT scans in SynthStrip are the CIM (CERMEP-IDB-MRXFDG) cases, and the authors may not redistribute those images — the official release ships CIM as masks only. We therefore exclude all 40
cim_*cases (an image-less mask cannot be scored). We also exclude the anatomicallabels.nii.gzmaps (a different, SynthSeg-style parcellation task — not the binary brain mask). What remains is a clean multi-contrast brain-MRI skull-stripping benchmark.
Contents
582 scans, organized as synthstrip_data_v1.5/<SUBSET>_<MODALITY>_<SUBJECT>/ with
image.nii.gz + mask.nii.gz. No train split (pure evaluation set); the authors' val/test split
is preserved in scan_metadata.csv and synthstrip_data_v1.5/scans_*.txt.
| Subset | Source archive | Modalities (count) | N | License |
|---|---|---|---|---|
| IXI | Imperial College London | T1w 50 · T2w 50 · PDw 50 · MRA 50 · DWI 32 | 232 | CC BY-SA 4.0 |
| FSM | FreeSurfer Maintenance (MGH) | T1w 38 · T2w 36 · PDw 32 · qT1 32 | 138 | CC BY 4.0 |
| ASL | HCP-Aging / MGH | T1w 43 · PCASL 43 | 86 | CC BY 4.0 |
| QIN | TCIA QIN-GBM-Treatment-Response | T1w 54 · T2-FLAIR 17 · T2w 39 | 110 | CC BY 4.0 |
| Infant | Boston Children's Hospital | T1w 16 (ages 0–18 mo) | 16 | CC BY 4.0 |
| Total | 582 | |||
| (excluded) CIM | CERMEP-IDB-MRXFDG | FDG PET 20 · CT 20 — masks only, no image | 40 | CC BY 4.0 |
Split (authors' publication split): validation = 24 · test = 558 (the official
scans_test.txt lists 598, of which 40 are the excluded cim_* cases → 558 here).
Per scan — synthstrip_data_v1.5/<scan_id>/:
| File | Content | dtype |
|---|---|---|
image.nii.gz |
unmodified native-space image (orientation/resolution vary per scan) | int16 / float32 / uint8 |
mask.nii.gz |
binary brain mask (0 = non-brain, 1 = brain) — same shape & affine as the image | uint8 |
scan_metadata.csv (repo root) carries one row per scan: scan_id, subset, modality, modality_full, modality_type, subject, split, source_archive, license, ixi_image_overlap.
Ground truth
Single tier — the manually-refined binary brain mask. The reference for each subject was
built by running every classical skull-stripper on the T1w scan and taking the per-voxel
majority vote, then manually refining it and propagating to the subject's other contrasts by
rigid registration; v1.5 additionally cleaned masks via largest-connected-component + hole-filling.
There are no competing rater/auto tiers to choose between. (This is not a SAMSEG output —
SAMSEG/SynthSeg is only used for the excluded anatomical labels.nii.gz.)
Cross-dataset overlap (important)
- IXI (232 scans, ~40% of this mirror) is EXACT source-image overlap with
Angelou0516/ixi-brain— the same IXI scans, here carrying skull-stripping brain masks instead of ixi-brain's target. They are legitimate, distinct benchmark samples (different task), but do not count IXI as unique images when aggregating SynthStrip + ixi-brain — de-duplicate on the IXI subject id (theixi_*scan_idtoken /subjectcolumn is the join key;ixi_image_overlap = trueflags every such row). - QIN (110 scans) is sourced from TCIA QIN-GBM-Treatment-Response, a glioblastoma cohort —
shared TCIA lineage with the BraTS-family / GBM datasets in the suite. Low leakage concern: the
task here is skull-stripping (binary brain mask), not tumor segmentation. The
qin_*token /subjectcolumn traces back to the TCIA subject. - ASL (86 scans) draws in part from the Human Connectome Project–Aging.
- No shared lineage with the Medical Segmentation Decathlon.
Licensing (per subset)
The release uses two licenses, so this repo is tagged license: other rather than a single CC
tag (tagging the whole repo plain CC BY 4.0 would mis-state the IXI images):
| Component | License |
|---|---|
| IXI images and their brain masks (232 scans) | CC BY-SA 4.0 (share-alike) |
| All other images + masks (FSM, ASL, QIN, Infant) | CC BY 4.0 |
The share-alike clause propagates to any derivative of the IXI data — including the IXI rows of
the data/ parquet preview, which are likewise CC BY-SA 4.0. See the official
license notice.
Provenance & source
Author-hosted by FreeSurfer / Martinos Center (not a third-party re-host): persistent DOI https://w3id.org/synthstrip → https://surfer.nmr.mgh.harvard.edu/docs/synthstrip/ · 3D release v1.5 (2024-06-20). The full release reports 622 scans; 582 are redistributable and mirrored here (see Scope). Each subset must additionally be credited to its original archive (IXI; FreeSurfer/FSM; HCP-Aging; TCIA QIN-GBM; Boston Children's Hospital) per the README.
data/ preview
data/ holds a Parquet preview for the Hugging Face Dataset Viewer — for each scan, the
brain-mask-centred slice of the image, the binary mask, and an overlay. The authoritative data are
the raw .nii.gz files under synthstrip_data_v1.5/. IXI-derived preview rows are CC BY-SA 4.0.
Citation
Hoopes A, Mora JS, Dalca AV, Fischl B*, Hoffmann M*. SynthStrip: skull-stripping for any brain image. NeuroImage, 260:119474, 2022. doi:10.1016/j.neuroimage.2022.119474 (*equal contribution)
Please also cite the source archive for whichever subset(s) you use (see the bundled
synthstrip_data_v1.5/README.txt for the full per-subset reference list).
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