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.
@article{arxiv.2412.17816,
title = {7 Tesla multimodal MRI dataset of ex-vivo human brain},
author = {Qinfeng Zhu and Sihui Li and Zuozhen Cao and Yao Shen and Haoan Xu and Guojun Xu and Haotian Li and Keqing Zhu and Zhiyong Zhao and Jing Zhang and Dan Wu},
journal= {arXiv preprint arXiv:2412.17816},
year = {2024}
}