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TCIA Prostate-3T: 64 T2-weighted prostate MRIs (DICOM)

pl.load("tcia_prostate_3t") loads this dataset. Axial T2-weighted 3 T prostate MRIs of 64 patients (Radboud), the images behind the MSD prostate task. Series are listed through the public NBIA API (no account) and each one is downloaded as a zip of DICOM files on first access; the folder is then a DICOM volume (LPS mm from the headers).

import pardesline as pl

ds = pl.load("tcia_prostate_3t")
print(ds.describe())  # roles, frames, units, labels, licence, citation
s = ds[0]
obj = s.t2  # fetched now, cached under ~/.cache/pardesline/datasets/tcia_prostate_3t

Provenance and licence
Source The Cancer Imaging Archive, collection Prostate-3T through the NBIA REST API
Scheme tcia
Size of the whole source 200 MB
Licence CC-BY-3.0
Commercial use allowed by the licence
Redistribution allowed
Licence note CC BY 3.0 on the TCIA collection page (checked 2026-10-14).
Terms https://www.cancerimagingarchive.net/collection/prostate-3t/
Homepage https://www.cancerimagingarchive.net/collection/prostate-3t/
Cite Litjens G., Futterer J., Huisman H. Data From Prostate-3T. The Cancer Imaging Archive, 2015. doi:10.7937/K9/TCIA.2015.QJTV5IL5. Clark K., Vendt B., Smith K., et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. J Digit Imaging 26(6):1045-1057, 2013.
Samples grouped by id

Roles (what each sample contains)

Role Type Frame Units Labels / layout Pattern or file
t2 volume (MR) from the file header from the file header {id}/MR/{series}
Axial T2 TSE, DICOM series

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("tcia_prostate_3t").take(2)
ds.export("./standardized")        # PLY / MetaImage + sidecars + manifest.json

Algorithms and models that run on it

Generated from src/pardesline/data/manifests/tcia_prostate_3t.json on 2026-10-14.