Scientific Data (May 2025)

7 Tesla multimodal MRI dataset of ex-vivo human brain

  • Qinfeng Zhu,
  • Sihui Li,
  • Zuozhen Cao,
  • Yao Shen,
  • Haoan Xu,
  • Guojun Xu,
  • Haotian Li,
  • Zhaopeng Cui,
  • Keqing Zhu,
  • Zhiyong Zhao,
  • Jing Zhang,
  • Dan Wu

DOI
https://doi.org/10.1038/s41597-025-04932-x
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Abstract 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.