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Dataset assetOpen Source CommunityMedical ImagingSpinal Diseases
Lumbar Spine MRI Scans
The dataset contains MRI images of lumbar vertebrae and intervertebral discs, focusing on the vertebrae and discs. Scans are accompanied by medical reports that aid in diagnosing spinal diseases such as degenerative spinal disease, lumbar degenerative disease, and disc herniation. The dataset emphasizes MRI of the lumbar spine and spinal canal using sagittal T2‑weighted images.
Source
github
Created
Sep 23, 2024
Updated
Sep 23, 2024
Signals
588 views
Availability
Linked source ready
Overview
Dataset description and usage context
Lumbar Spine MRI Scans - 2.4 Million Studies
Dataset Overview
- Data Type: MRI images
- Focus Area: Lumbar vertebrae and intervertebral discs
- Additional Information: Includes medical reports for diagnosing spinal diseases such as degenerative spinal disease, lumbar degenerative disease, and disc herniation
- Image Types: Emphasizes sagittal T2‑weighted MRI of the lumbar spine and spinal canal
Dataset Contents
- ST000001: Contains sub‑folders for 9 studies, each with .dcm and .jpg MRI scan images
- DICOMDIR: Holds patient condition information and file access links
- Lumbar_Spine_MRI.pdf: Medical reports provided by radiologists
- .csv files: Enumerate study counts sorted by conditions and methodologies
Medical Report Content
- Study type
- MRI machine (mainly Philips Intera 1.5 T)
- Patient demographics (age, gender, race)
- Brief disease history (symptoms)
- Case description
- Preliminary diagnosis
- Recommendations for further action
Dataset Characteristics
- Supports segmentation algorithms and classification models for deep‑learning applications
- Contains sagittal and axial views suitable for machine‑learning and medical‑diagnosis tasks
- Covers spinal pathologies including spinal cord compression, canal stenosis, and other lumbar spinal diseases
- All patients consented to data release; data are de‑identified
Dataset Value
- Suitable for exploring disc disease, back pain, and degenerative changes
- Provides rich diagnostic imaging data and performance baselines for classification and segmentation challenges
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