7 Tesla multimodal MRI dataset of ex-vivo human brain
Fuente:
arXiv
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| Autores principales: | , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916541229957120 |
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| author | Zhu, Qinfeng Li, Sihui Cao, Zuozhen Shen, Yao Xu, Haoan Xu, Guojun Li, Haotian Zhu, Keqing Zhao, Zhiyong Zhang, Jing Wu, Dan |
| author_facet | Zhu, Qinfeng Li, Sihui Cao, Zuozhen Shen, Yao Xu, Haoan Xu, Guojun Li, Haotian Zhu, Keqing Zhao, Zhiyong Zhang, Jing Wu, Dan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_17816 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | 7 Tesla multimodal MRI dataset of ex-vivo human brain Zhu, Qinfeng Li, Sihui Cao, Zuozhen Shen, Yao Xu, Haoan Xu, Guojun Li, Haotian Zhu, Keqing Zhao, Zhiyong Zhang, Jing Wu, Dan Quantitative Methods 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. |
| title | 7 Tesla multimodal MRI dataset of ex-vivo human brain |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2412.17816 |