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

This is the MR-RATE-coreg repository, part of the MR-RATE dataset release. It contains co-registered MRI volumes in which all imaging volumes within each study have been spatially aligned to a common T1-weighted reference frame. For full dataset details, native-space MRI volumes, radiology reports, metadata, and data splits, please refer to the MR-RATE repository. To explore, download, and work with the dataset see Dataset Organization & Getting Started.

[2026-04-19] Some studies initially missing due to processing job failures have been uploaded. See the backfill guide for details.

Co-registered MRI Volumes

Within each study in native-space, a T1-weighted MRI volume is selected as the center modality. All other MRI volumes acquired in the same study, referred to as moving modalities, are rigidly registered to the center modality using ANTs, bringing all volumes into a common anatomical coordinate frame per study.

This repository provides:

• Center modalities (in NIfTI format): All center modality MRI volumes along with their corresponding brain masks and defacing masks, copied from the native-space dataset in the MR-RATE repository for convenience
• Co-registered moving modalities (in NIfTI format): All moving modality MRI volumes registered to the T1-weighted center modality
• Registration transforms (in .mat format): The ANTs transform files for each registration, enabling users to apply or invert them in their own workflows

Study folders are zipped to comply with Hugging Face's per-repository file count limits.

Citing Us

When using this dataset, please consider citing the following related papers:

Coming soon

Ethical Approval

This study was approved by the Clinical Research Ethics Committee at Istanbul Medipol University (E-10840098-772.02-6841, 27/10/2023). All MRI volumes, metadata, and radiology reports were fully anonymized prior to analysis to protect patient privacy.

License

We are committed to fostering innovation and collaboration in the research community. To this end, all elements of the MR-RATE dataset are released under a Creative Commons Attribution–NonCommercial–ShareAlike (CC BY-NC-SA) license.

This licensing framework ensures that our contributions can be freely used for non-commercial research purposes, while also encouraging contributions and modifications, provided that the original work is properly cited and any derivative works are shared under similar terms.

For commercial inquiries related to MR-RATE, please contact: contact@forithmus.com.

Acknowledgements

This project is conducted by Forithmus and the University of Zurich, in collaboration with NVIDIA and Istanbul Medipol University.

We are grateful to NVIDIA for their support, which made this work possible. We also sincerely thank Istanbul Medipol University for their support and for providing the data used in this project. High-performance computing resources were provided by NVIDIA and the University of Zurich ScienceCluster. We would also like to thank the following individuals from NVIDIA for their contributions to the development of MR-RATE: Marc Edgar, Daguang Xu, Dong Yang, Yucheng Tang, Can Zhao, Andriy Myronenko, and Pengfei Guo.

This collaboration represents an important step toward the long-term mission to make high-quality medical intelligence accessible worldwide.