Commercial

Spine MRI Dataset

The spine MRI dataset contains high-resolution scans of the lumbar spine with radiologists’ reports including descriptions, conclusions, and recommendations, along with annotated segmentations of vertebrae and spinal structures for advanced medical imaging research

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  • Medical Studies
    2,400,000+
  • Pathologies
    67+
  • Medicine
  • Computer Vision
  • Machine Learning
  • Classification
  • Data Labeling

The spine MRI dataset contains high-resolution scans of the lumbar spine with radiologists’ reports including descriptions, conclusions, and recommendations, along with annotated segmentations of vertebrae and spinal structures for advanced medical imaging research

Get in touch Download sample
  • Medicine
  • Computer Vision
  • Machine Learning
  • Classification
  • Data Labeling
  • Medical Studies
    2,400,000+
  • Pathologies
    67+

Dataset Info

Characteristic Data
Description MRI images of the lumbar vertebras and lumbar discs for recognize pathologies
Data types Dicom, jpg
Annotation Type of a study, MRI machine (mostly Philips Intera 1.5T), Patient's demographic information (age, sex, race), Brief anamnesis of the disease (complaints), Description of the case, Preliminary diagnosis, Recommendations on the further actions
Tasks Recognition, classification and segmentation of pathologies, computer vision
Total number of files 2,400,000+
Number of studies 67+
Labeling Technical characteristics and metadata (body part, number of studies), markup, medical reports
GIF made from images in the dataset
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Technical
Characteristics

Characteristic Data
File extension Dicom, jpg
Source and collection methodology: Data was collected by a partner of Unidata

Dataset Use Cases

  • Healthcare & Diagnostics

    Improving Detection of Spinal Disorders

    Spine MRI Dataset provides detailed MRI scans of the lumbar spine and surrounding spinal structures. Radiologists and medical teams use it to identify issues such as disc herniation, spinal stenosis, and nerve compression. This high-quality imaging data supports diagnostic accuracy and helps improve patient care.



  • AI & Machine Learning

    Training Algorithms for Spine Segmentation

    The spine MRI image dataset is a valuable training dataset for building deep learning and machine learning models. With labeled MRI slices and automatic segmentations, developers can create reliable tools for spine segmentation, advancing research in medical imaging and improving the performance of segmentation algorithms for real-world healthcare use.



  • Medical Research

    Studying Lumbar Spine Anatomy

    This lumbar MRI dataset offers rich MRI data for research into spinal canals, spinal nerves, and nerve roots. Researchers use it to explore lumbar spinal health, track disease progression, and validate new segmentation challenges. The dataset can become a valuable resource for academic and clinical studies.



  • Imaging Software Development

    Building Smarter Diagnostic Tools

    Software developers rely on this dataset to design advanced visualization and data analysis tools. With access to multi-series MRI images and comprehensive medical images, it enables more precise image segmentation, supports integration with CT imaging and x-ray images, and drives innovation in modern diagnostic imaging systems.



FAQs

What is the Spine MRI Dataset used for?
Spine MRI Dataset is designed for recognition, classification, and segmentation of lumbar spine pathologies using medical imaging and computer vision. It supports deep learning models, segmentation algorithms, and diagnostic imaging research, helping improve accuracy in analyzing spinal structures, spinal canals, and nerve roots.
What is included in this dataset?
It contains over 2,400,000 MRI files across more than 67 studies of lumbar spines. It provides DICOM and JPG formats, detailed annotations such as patient demographics, anamnesis, case descriptions, preliminary diagnoses, and medical reports, making it a valuable training dataset for machine learning and spine segmentation tasks.
What types of annotations are provided?
The dataset includes technical metadata (study type, MRI machine, number of studies), along with clinical annotations such as disease complaints, case descriptions, and recommendations for further actions. These annotations enrich the MRI scans and support automatic segmentations, data analysis, and training processes in diagnostic imaging.
Can I request a sample of Spine MRI Dataset before purchasing?
Yes, Unidata provides samples so you can review image quality, resolution, and annotation details before purchase. This ensures the training data meets your requirements for medical image segmentation, machine learning applications, and diagnostic accuracy in spine MRI research.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Unidata datasets meet GDPR and relevant data protection standards. All information is derived from legitimate and lawful sources to safeguard ethical use.
How is the data stored?
Unidata relies on AWS cloud infrastructure to store all datasets, providing scalability and uninterrupted availability. Our policies and practices follow ISO 27001 and ISO 27701 standards, internationally recognized for information security and privacy. This ensures that our storage environment remains secure, compliant, and reliable.
How are Unidata datasets licensed?
Unidata datasets are distributed under a dual licensing model: sample datasets are free for trial, while full access requires purchase.
Is it unique data?
Yes, the data is unique. We collect it ourselves through our own processes, and it is not available from any open sources. The dataset is created exclusively for our clients and stored securely on our side, making it accessible only upon purchase. You won’t be able to find this data elsewhere, as we collect and maintain it independently. To get a better idea of what the data looks like, you can view a sample on this page and also download an example by clicking the “Download Sample” button.
Still have questions about using Unidata datasets? Read our user-guides

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