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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.
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5. Redistribution

  • Redistribution of the dataset or any portion thereof is not allowed.
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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
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8. Access Revocation
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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.

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MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging

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

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 659,858 non-contrast and contrast-enhanced brain MRI volumes, from 93,257 imaging studies of 80,290 unique patients, along with corresponding radiology text reports and metadata.

Overview of the MR-RATE dataset construction pipeline. Brain 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.
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