Open dataset · MR, US

ReMIND — Brain tumor multi-modal MR (raw, with iUS)

114 brain tumor patients with pre/post-op multi-modal MR + intra-operative ultrasound. NOT skull-stripped.

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MR, US 990 cases CC-BY-4.0 Reference masks Pathology
ReMIND — Brain tumor multi-modal MR (raw, with iUS) — example case rendered in the MedSeg editor
Example case with its reference segmentation — straight from the catalog, rendered by MedSeg.

Browse cases

Demo cases open instantly in the browser-based editor — scroll the slices, inspect the reference masks, window the image. Everything else is one free account away.

ReMIND-056__3d-ax-t2-space — ReMIND — Brain tumor multi-modal MR (raw, with iUS) case preview

ReMIND-056__3d-ax-t2-spaceOpen preview

 ReMIND-114__3d-ax-t2-space — ReMIND — Brain tumor multi-modal MR (raw, with iUS) case preview

ReMIND-114__3d-ax-t2-spaceOpen preview

 ReMIND-001__3d-ax-t1-postcontrast — ReMIND — Brain tumor multi-modal MR (raw, with iUS) case preview

ReMIND-001__3d-ax-t1-postcontrastSign up to open

 ReMIND-001__3d-sag-t2-space — ReMIND — Brain tumor multi-modal MR (raw, with iUS) case preview

ReMIND-001__3d-sag-t2-spaceSign up to open

 ReMIND-002__2d-ax-t2-blade — ReMIND — Brain tumor multi-modal MR (raw, with iUS) case preview

ReMIND-002__2d-ax-t2-bladeSign up to open

 ReMIND-002__3d-ax-t1-postcontrast — ReMIND — Brain tumor multi-modal MR (raw, with iUS) case preview

ReMIND-002__3d-ax-t1-postcontrastSign up to open

About this dataset

ReMIND (Brigham and Women's) is a brain neuronavigation registration dataset: 114 patients with brain tumors (gliomas, meningiomas, metastases), each with pre-operative and post-operative multi-modal MR (T1, T1-post-contrast, T2, FLAIR) plus intra-operative ultrasound acquired during surgery for navigation. Unlike BraTS / UPENN-GBM, ReMIND is raw clinical MR — not skull-stripped, not pre-processed — so it shows what real-world scans look like.

MedSeg includes the official NRRD-derived reference segmentations where they could be paired to the public MR series with clean study metadata and geometry. Some released segmentations are intentionally omitted because duplicated series descriptions and geometry mismatches made a reliable image-to-mask pairing unsafe.

FactValue
Cases990
Series990
Size13.2 GB
ModalityMR, US
Reference masksYes
LicenseCC-BY-4.0
PublisherBrigham and Women's Hospital
Version2023
DOI10.7937/3RAG-D070

What you can do with it in MedSeg

Copied cases behave like normal project series — the public image bytes are linked, not duplicated, so copies are instant and take no extra storage.

  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.

Juvekar, P., Dorent, R., Kögl, F., Torio, E., Barr, C., Rigolo, L., et al. (2024). The Brain Resection Multimodal Imaging Database (ReMIND). Scientific Data, 11, 494.

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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