7 Tesla multimodal MRI dataset of ex-vivo human brain
Ex-vivo MRI offers invaluable insights into the complexity of the human brain, enabling high-resolution anatomical delineation and integration with histopathology, and thus, contributes to both basic and clinical studies on normal and pathological brains. However, ex-vivo MRI is challenging in sample preparation, acquisition, and data analysis, and existing ex-vivo MRI datasets are often single image modality and lack of ethnic diversity. In our study, we aimed to address these limitations by constructing a comprehensive multimodal MRI database acquired from six ex-vivo Chinese human brains. This database included structural MRI, high-angular resolution diffusion MRI, quantitative susceptibility mapping, and quantitative T1 and T2 maps, which enabled multifaceted depiction of brain microstructure and connectivity. Furthermore, we generated population-averaged multimodal templates and the segmentation labels to facilitate analysis of ex-vivo brain MRI. This public database offers a collection of high-resolution and multi-parametric ex-vivo human brain MRI and filled the gap of lacking Asian brain samples in existing databases.
Authors
- Zhanjun Cui
- Yao Shen (ORCID: https://orcid.org/0000-0002-4393-2794)
- Zuozhen Cao (ORCID: https://orcid.org/0000-0001-8119-6436)
- Sihui Li (ORCID: https://orcid.org/0009-0007-2442-9783)
- Zhiyong Zhao (ORCID: https://orcid.org/0000-0002-4593-9156)
- Qinfeng Zhu (ORCID: https://orcid.org/0000-0001-8038-0274)
- Dan Wu (ORCID: https://orcid.org/0000-0002-9303-5821)
- Haoan Xu (ORCID: https://orcid.org/0000-0002-7555-9381)
- Haotian Li (ORCID: https://orcid.org/0000-0002-5720-8078)
- Keqing Zhu (ORCID: https://orcid.org/0000-0003-2864-3043)
- Guojun Xu
- Jing Zhang (ORCID: https://orcid.org/0000-0002-7650-4702)
Institutions
- Ministry of Education (NZ)
- Children's Hospital of Zhejiang University (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1038/s41597-025-04932-x
- Citations
- 6
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 8.16
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- China Postdoctoral Science Foundation
- Zhejiang University
- Science and Technology Department of Zhejiang Province
- Natural Science Foundation of Zhejiang Province