MR-RATE / README.md
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metadata
title: MR-RATE Dataset
license: cc-by-nc-sa-4.0
task_categories:
  - image-to-text
  - text-to-image
  - image-classification
  - question-answering
  - visual-question-answering
  - zero-shot-classification
language:
  - en
tags:
  - brain-mri
  - radiology
  - science
  - huggingscience
  - 3d-medical-imaging
  - medical
  - mr-rate
  - multimodal
  - vision-language
  - healthcare
  - diagnostic-imaging
  - computer-vision
  - foundation-model
size_categories:
  - 10K<n<100K
pretty_name: 'MR-RATE: Brain MRI Volumes with Radiology Reports'
extra_gated_prompt: >
  ## Terms and Conditions for Using the MR-RATE Dataset


  **1. Acceptance of Terms**

  Accessing and using the MR-RATE dataset implies your agreement to these terms
  and conditions. If you disagree with any part, please refrain from using the
  dataset.


  **2. Permitted Use**

  - The dataset is intended solely for academic, research, and educational
  purposes.

  - Any commercial exploitation of the dataset without prior permission is
  strictly forbidden.

  - You must adhere to all relevant laws, regulations, and research ethics,
  including data privacy and protection standards.


  **3. Data Protection and Privacy**

  - Acknowledge the presence of sensitive information within the dataset and
  commit to maintaining data confidentiality.

  - Direct attempts to re-identify individuals from the dataset are prohibited.

  - Ensure compliance with data protection laws such as GDPR and HIPAA.


  **4. Attribution**

  - Cite the dataset and acknowledge the providers in any publications resulting
  from its use.

  - Claims of ownership or exclusive rights over the dataset or derivatives are
  not permitted.


  **5. Redistribution**

  - Redistribution of the dataset or any portion thereof is not allowed.

  - Sharing derived data must respect the privacy and confidentiality terms set
  forth.


  **6. Disclaimer**

  The dataset is provided "as is" without warranty of any kind, either expressed
  or implied, including but not limited to the accuracy or completeness of the
  data.


  **7. Limitation of Liability**

  Under no circumstances will the dataset providers be liable for any claims or
  damages resulting from your use of the dataset.


  **8. Access Revocation**

  Violation of these terms may result in the termination of your access to the
  dataset.


  **9. Amendments**

  The terms and conditions may be updated at any time; continued use of the
  dataset signifies acceptance of the new terms.


  **10. Governing Law**

  These terms are governed by the laws of the location of the dataset providers,
  excluding conflict of law rules.


  **Consent:**

  Accessing and using the MR-RATE dataset signifies your acknowledgment and
  agreement to these terms and conditions.
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MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging

Paper: Coming soon   |   GitHub: Coming soon

Welcome to the official page for MR-RATE, a pioneering vision-language model and 3D medical imaging dataset that uniquely pairs textual data with brain and spine MRI volumes. Building on CT-RATE, the first 3D medical imaging dataset to pair images with textual reports, MR-RATE offers brain and spine MRI volumes matched with corresponding radiology reports and metadata, all freely accessible to researchers.

A novel dataset of brain and spine MRI volumes with corresponding radiology text reports and metadata

A major challenge in computational research in 3D medical imaging is the lack of comprehensive datasets. Addressing this issue, we present MR-RATE. MR-RATE consists of 705,254 non-contrast and contrast-enhanced brain and spine MRI volumes, from 98,334 imaging studies of 84,137 unique patients, along with corresponding radiology text reports and metadata.

Overview of the MR-RATE dataset construction pipeline. Brain and spinal MRI examinations are acquired from patients using an MRI scanner and organised into multiple imaging sequence categories, including T1-weighted, T2-weighted, FLAIR, SWI, and MRA. Each study is paired with associated metadata and a radiology report, which is produced by the radiologist during clinical interpretation. Together, these components constitute the MR-RATE dataset for multimodal brain MRI research.

The MR-RATE dataset is released across four Hugging Face repositories:

  • Forithmus/MR-RATE (this repo): Native-space MRI volumes, along with the associated radiology text reports, metadata and data splits.
  • Forithmus/MR-RATE-coreg: MRI volumes in co-registered space, where the moving modalities are registered to the T1-weighted center modality within each study.
  • Forithmus/MR-RATE-atlas: MRI volumes in atlas space, where all modalities are registered to the MNI152 atlas.
  • Forithmus/MR-RATE-seg: Multi-label brain segmentation maps.