CoolFace
Datasetpublic

MedOtter/SPIDER

SPIDER — Lumbar Spine Segmentation in MR Images Public release of the SPIDER dataset: 218 patients, 447 sagittal lumbar-spine MRI series with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. Source: van der Graaf et al., Scientific Data 11:264 (2024). Contents Path Description images/images/ 447 .mha MRI volumes — naming `{patient_id}_{t1 masks/masks/ 447 .mha reference segmentations, one per image overview.csv… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/SPIDER.

sourceHugging Facecc-by-4.0updated 5mo agoView on Hugging Face
0likes412downloads
Dataset Card

SPIDER — Lumbar Spine Segmentation in MR Images

Public release of the SPIDER dataset: 218 patients, 447 sagittal lumbar-spine MRI series with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. Source: van der Graaf et al., Scientific Data 11:264 (2024).

Contents

PathDescription
images/images/447 .mha MRI volumes — naming `{patientid}{t1t2t2_SPACE}.mha` (196 T1 + 210 T2 + 41 T2-SPACE)
masks/masks/447 .mha reference segmentations, one per image
overview.csvPer-series metadata: subset (training/validation), sex, vendor, sequence parameters, etc.
radiological_gradings.csvPer-IVD radiological gradings (Modic, Pfirrmann, herniation, etc.)

Splits

Split assignment is in overview.csv column subset:

  • —training — 360 series
  • —validation — 87 series

(The Grand Challenge hidden test set of 39 patients is not included; it is only accessible via https://spider.grand-challenge.org/.)

Label Scheme (masks)

  • —Vertebrae: sequential integer labels (numbered top-down)
  • —IVDs: labeled by the vertebra immediately above (lowest IVD = 201, next up = 202, ...)
  • —Spinal canal: 100
  • —Background: 0

Recommended Ground Truth

Use masks/masks/. The 41 T2-SPACE series are the most authoritative tier (fully manual annotation on near-isotropic, higher-resolution voxels). T1/T2 masks were produced by iterative semi-automatic refinement under MSK-radiologist supervision.

Source

  • —Paper: van der Graaf, J. W., et al. (2024). Lumbar spine segmentation in MR images: a dataset and a public benchmark. Sci Data 11, 264. doi:10.1038/s41597-024-03090-w
  • —Original Zenodo: https://zenodo.org/records/10159290
  • —Grand Challenge: https://spider.grand-challenge.org/
  • —License: CC-BY 4.0

This HuggingFace mirror reproduces the Zenodo v4 release (Nov 2023, modified Mar 2024) without modification.