Zhu Qinfeng, Li Sihui, Cao Zuozhen, Shen Yao, Xu Haoan, Xu Guojun, Li Haotian, Cui Zhaopeng, Zhu Keqing, Zhao Zhiyong, Zhang Jing, Wu Dan
Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
State Key Laboratory of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, China.
Sci Data. 2025 May 22;12(1):845. doi: 10.1038/s41597-025-04932-x.
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.
离体磁共振成像（MRI）为深入了解人类大脑的复杂性提供了宝贵的见解，能够实现高分辨率的解剖学描绘并与组织病理学相结合，从而为正常和病理大脑的基础研究及临床研究做出贡献。然而，离体MRI在样本制备、采集和数据分析方面具有挑战性，并且现有的离体MRI数据集通常是单一图像模态，缺乏种族多样性。在我们的研究中，我们旨在通过构建一个从六个中国离体人脑获取的综合多模态MRI数据库来解决这些局限性。该数据库包括结构MRI、高角分辨率扩散MRI、定量磁化率映射以及定量T1和T2图谱，能够对脑微结构和连通性进行多方面的描绘。此外，我们生成了群体平均多模态模板和分割标签，以促进离体脑MRI分析。这个公共数据库提供了一组高分辨率和多参数的离体人脑MRI，填补了现有数据库中缺乏亚洲脑样本的空白。
