Scholarlink

<p><i>Ex-vivo</i> 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, <i>ex-vivo</i> MRI is challenging in sample preparation, acquisition, and data analysis, and existing <i>ex-vivo</i> 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 <i>ex-vivo</i> 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 <i>ex-vivo</i> brain MRI. This public database offers a collection of high-resolution and multi-parametric <i>ex-vivo</i> human brain MRI and filled the gap of lacking Asian brain samples in existing databases.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

7 Tesla multimodal MRI dataset of ex-vivo human brain

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月22日

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

摘要

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.