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RIRE training_001: CT and MR-T1 of one brain

pl.load("rire_brain") loads this dataset. Multimodal brain pair from the Retrospective Image Registration Evaluation project, as distributed with the SimpleITK notebooks. The classic rigid CT/MR registration exercise.

import pardesline as pl

ds = pl.load("rire_brain")
print(ds.describe())  # roles, frames, units, labels, licence, citation
s = ds[0]
obj = s.ct  # fetched now, cached under ~/.cache/pardesline/datasets/rire_brain

Provenance and licence
Source direct HTTPS downloads with checksums: training_001_ct.mha, training_001_mr_T1.mha
Scheme https
Size of the whole source 19 MB
Licence not a standard licence: see the note
Redistribution unknown
Licence note RIRE data are distributed for research evaluation of registration methods. Terms of use TO CONFIRM with the data owner before any redistribution.
Terms https://rire.insight-journal.org/
Homepage https://rire.insight-journal.org/
Cite West J. et al. Comparison and evaluation of retrospective intermodality brain image registration techniques. J Comput Assist Tomogr 21(4), 1997.
Samples grouped by patient
Samples listed in the manifest 1

Roles (what each sample contains)

Role Type Frame Units Labels / layout Pattern or file
ct volume (CT) from the file header from the file header training_001_ct.mha
CT, the fixed reference
mr_t1 volume (MR) from the file header from the file header training_001_mr_T1.mha
MR T1-weighted, the moving volume

Standardized layout

Files are fetched on first access into the dataset cache and stay in their original format; ds.export(folder) writes every sample as standard files (PLY for points and meshes, MetaImage for volumes and label maps) with a .pardesline.json sidecar carrying frame, units, labels, licence and provenance, plus a manifest for the folder. Label maps become exact surfaces with to_mesh(label=k), DICOM series become one volume, raw arrays are decoded through the layout above.

ds = pl.load("rire_brain").take(2)
ds.export("./standardized")        # PLY / MetaImage + sidecars + manifest.json

Algorithms and models that run on it

Generated from src/pardesline/data/manifests/rire_brain.json on 2026-10-10.