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Medical Radiology Imaging Dataset
Patient Health Records & Digital Health
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About
This resource contains Spinal Cord Images suitable for Fracture Detection, Anomaly Detection & Segmentation tasks. It provides MRI scans of the spine detailing various dystrophic changes, such as osteochondrosis, spondyloarthrosis, hemangioma, physiological lordosis smoothed, osteophytes, and aggravated defects. The images are expert-labeled by doctors and include an accompanying medical report in PDF format, making them highly valuable for training algorithms designed for spine anomaly classification.
Columns
The small supplementary
.csv file (spine_mri_2.csv) offers metadata on the studies. It contains two columns:- id: The unique identifier for each study (9 unique values).
- files: The total count of files associated with that specific study (9 total values).
Distribution
The sample provided includes 9 studies, captured from different angles to facilitate detailed analysis. Each study folder contains MRI-scans in both .dcm and .jpg file formats. The collection also features a DICOMDIR file, which holds information about the patient's condition and file access links, along with a medical report (
Spine_MRI_2.pdf) prepared by a radiologist. A larger, purchasable version of this resource includes 20,000 spine studies covering numerous conditions.Usage
This data product is ideally suited for advanced medical research and development:
- Training artificial intelligence models for automated diagnosis of spinal issues.
- Studying spinal conditions and disorders, including herniated discs, spinal stenosis, scoliosis, and fractures.
- Developing and evaluating new imaging techniques and computer algorithms for image analysis.
- Creating segmentation models for key spinal anatomy.
Coverage
The scans offer detailed imaging of the spine, encompassing the vertebrae, discs, nerves, and surrounding tissues. The associated medical reports provide essential context, including patient's demographic information, a description of the case, preliminary diagnosis, and recommendations for subsequent actions. The full version of the data covers conditions such as Degeneration of discs, Osteophytes, Hemangioma, Disk extrusion, and Spondylitis. Data collection can potentially be customised to specific user requirements.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
The dataset targets professionals focused on medical imaging and advanced analytics:
- Medical Researchers: Investigating spine pathology and the diagnosis of spinal injuries.
- AI/ML Practitioners: Developing neural networks for image classification and systems for artificial intelligence in radiology.
- Healthcare Professionals: Evaluating computer-assisted diagnosis tools for clinical practice.
Dataset Name Suggestions
- Spine MRI Anomaly Detection Scans
- Spinal Vertebrae Segmentation Dataset
- Spine Magnetic Resonance Imaging Dataset
- Spine Fracture Diagnosis Data
Attributes
Original Data Source: Medical Radiology Imaging Dataset
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