Open dataset · CT

Head CTA Aneurysm - DICOM with STL annotations

172 anonymized contrast-enhanced head CTA DICOM series from three clinical centers: 82 aneurysm cases and 90 controls.

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CT 172 cases CC-BY-4.0 Reference masks Pathology
Head CTA Aneurysm - DICOM with STL annotations — example case rendered in the MedSeg editor
Example case with its reference segmentation — straight from the catalog, rendered by MedSeg.

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About this dataset

Open dataset of annotated DICOM images of head CTA for intracranial aneurysm detection contains 172 clinical head CTA studies in DICOM format, with 82 intracranial aneurysm cases and 90 aneurysm-free controls. The Zenodo metadata describes expert-curated STL aneurysm annotations and per-case metadata with aneurysm morphology, rupture, bleb, thrombus, calcification, vessel involvement, image count, and slice thickness. MedSeg imports all image series, including controls, and rasterizes STL aneurysm annotations onto the source CT grid when geometry checks pass.

The archive is suitable for commercial-use model development under CC BY 4.0 with attribution. Images are full DICOM anonymized and defaced by the source dataset authors.

FactValue
Cases172
Series172
Size34.7 GB
ModalityCT
Reference masksYes
LicenseCC-BY-4.0
PublisherZenodo
Version2025-06-17
DOI10.5281/zenodo.15697196

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  1. Copy cases into a project.
    Filter, multi-select, copy — reference masks come along if you want them.
  2. Run AI segmentation.
    TotalSegmentator, MRSegmentator, nnInteractive 3D clicks/scribbles, or text-prompted VoxTell.
  3. Edit and measure.
    Brush, lasso, fill, oblique planes, volumes in ml — in the browser.
  4. Train your own nnU-Net.
    Correct masks on a handful of cases and train a custom model on hosted GPUs.

Citation

If you use this dataset in your research, cite the source per its license terms.

Blagosklonova, E., Dolotova, D., Polunina, N., Grigorieva, E., Pakhomov, D., Krylov, V., & Gavrilov, A. (2025). Open dataset of annotated DICOM images of head CTA for intracranial aneurysm detection. Zenodo. https://doi.org/10.5281/zenodo.15697196

License: CC-BY-4.0

Open data still carries obligations — attribution at minimum. Check the license terms and the source publication before publishing work built on this dataset. MedSeg is a research tool, not a medical device.

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