openbrain_v1_0 / README.md
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metadata
configs:
  - config_name: sample_manifest
    data_files:
      - split: sample
        path: sample/sample_manifest.csv
    default: true

OpenBrain v1.0

OpenBrain v1.0 is a public-ready release of brain-extracted T1-weighted MRI images, SynthStrip-derived brain masks, and automated whole-brain segmentation labels.

Release Contents

  • Cases: 35,838
  • Source OpenNeuro datasets: 607
  • License: CC0
  • Artifacts per case:
    • image.nii.gz: revised brain-extracted T1w image
    • brain_mask.nii.gz: SynthStrip-derived brain mask
    • whole_brain_segmentation.nii.gz: automated whole-brain segmentation label

All released cases are derived from raw T1w images that were exactly matched to verified public OpenNeuro snapshots with CC0/public-domain-compatible license metadata. The segmentation labels are algorithmic labels, not manual ground truth.

Layout

cases/<case_id>/image.nii.gz
cases/<case_id>/brain_mask.nii.gz
cases/<case_id>/whole_brain_segmentation.nii.gz
metadata/openbrain_v1_0_metadata.csv
metadata/sha256_manifest.csv
sample/cases/<case_id>/...
sample/sample_manifest.csv
sample/README.md

QC Manifest Fields

The QC manifest uses Q1--Q7 for the raw OpenBrain QC-7 values and r1--r7 for the corresponding source-local percentile risk fields. Larger r_k values indicate higher risk relative to cases from the same OpenNeuro source dataset; they are not calibrated probabilities of segmentation correctness. R is the aggregate QC-7 risk score, and tier is the confidence tier derived from the fixed release operating points.

The public sample manifest under sample/sample_manifest.csv follows the same QC field convention for the 64-case reviewer sample subset.

Reviewer Sample

The sample/ directory is a 64-case reviewer preview subset. Every sample case is drawn from the HighConf tier and includes the same three case artifacts as the full release: image.nii.gz, brain_mask.nii.gz, and whole_brain_segmentation.nii.gz. The sample is source-diverse (one case per source dataset) and selected by low combined risk R, with Q1/Q3/Q4 visual-cleanliness tie-breaks.

Use it for visual inspection, download testing, and pipeline smoke tests. The labels remain algorithmic pseudo-labels, not manual ground truth.

Exclusions

This release excludes cases with non-CC0 licenses, missing OpenNeuro provenance, manual-review license status, ambiguous raw BIDS matches, or missing raw T1w matches. OpenMind-derived quality scores and masks are not included.