Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset
Diffusion magnetic resonance imaging (dMRI) provides critical insights into the microstructural and connectional organization of the human brain. However, the availability of high-field, open-access datasets that include raw k-space data for advanced research remains limited. To address this gap, we introduce Diff5T, a first comprehensive 5.0 Tesla diffusion MRI dataset focusing on the human brain. This dataset includes raw k-space data and reconstructed diffusion images, acquired using a variety of imaging protocols. Diff5T is designed to support the development and benchmarking of innovative methods in artifact correction, image reconstruction, image preprocessing, diffusion modelling and tractography. The dataset features a wide range of diffusion parameters, including multiple b-values and gradient directions, allowing extensive research applications in studying human brain microstructure and connectivity. With its emphasis on open accessibility and detailed benchmarks, Diff5T serves as a valuable resource for advancing human brain mapping research using diffusion MRI, fostering reproducibility, and enabling collaboration across the neuroscience and medical imaging communities.
Authors
- Yaowen Xing (ORCID: https://orcid.org/0000-0003-3418-7435)
- Yijing Dong
- Hairong Zheng (ORCID: https://orcid.org/0000-0002-8558-5102)
- Guobin Li (ORCID: https://orcid.org/0000-0003-1307-9507)
- Sen Jia (ORCID: https://orcid.org/0000-0002-0953-4960)
- Changjun Tie
- Xiuqin Jia
- Qiyuan Tian (ORCID: https://orcid.org/0000-0002-8350-5295)
- Qi Yang (ORCID: https://orcid.org/0009-0005-3198-1619)
- Jianzhong He
- Hua Guo (ORCID: https://orcid.org/0000-0002-0482-1493)
- Hao Peng (ORCID: https://orcid.org/0000-0001-6277-662X)
- Fan Zhang (ORCID: https://orcid.org/0000-0002-5032-6039)
- Shanshan Wang (ORCID: https://orcid.org/0000-0002-0575-6523)
- Shichao Yu (ORCID: https://orcid.org/0000-0001-8861-1671)
- Jiayu Zhu (ORCID: https://orcid.org/0000-0002-2228-9605)
- Jian Cheng (ORCID: https://orcid.org/0000-0003-1289-2758)
Institutions
- University of Electronic Science and Technology of China (CN)
- Capital Medical University (CN)
- Chinese Academy of Sciences (CN)
- United Imaging Healthcare (China) (CN)
- Zhejiang Institute of Science and Technology Information (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- University of Chinese Academy of Sciences (CN)
- Beihang University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1038/s41597-025-05640-2
- Citations
- 4
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- National Natural Science Foundation of China