Computational diffusion magnetic resonance imaging: acquisition, modeling, processing and visualization to study brain connectivity and tissue microstructure

计算扩散磁共振成像：采集、建模、处理和可视化，以研究大脑连接和组织微观结构

• 批准号: 386741-2010
• 负责人: Descoteaux, Maxime
• 金额: $ 2.99万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=529044
• 关键词: Computational; diffusion; magnetic; resonance; imaging

Alzheimer's disease, Parkinson's disease, Huntington's disease, multiple sclerosis, and other neurodegenerative diseases currently impact on a large proportion of the aging Canadian population. It remains unknown how fiber connections in the brain white matter are degenerated and damaged by these diseases. Diffusion magnetic resonance imaging (MRI) is the only non-invasive technique able to obtain information about the neural architecture of the white matter. Diffusion MRI has proven of utmost importance in the past 10 years in a wide range of neuroscience studies; for neurodegerative diseases as aformentioned, but also for brain development studies and neuro-surgical planning. Hence, diffusion MRI provides a unique tool to study anatomical connectivity and better understand how the brain is wired.

阿尔茨海默氏病、帕金森氏病、亨廷顿氏病、多发性硬化症和其他神经退行性疾病目前影响着大部分加拿大老龄人口。目前还不清楚大脑白色物质中的纤维连接是如何被这些疾病退化和破坏的。扩散磁共振成像（MRI）是唯一的非侵入性技术，能够获得有关的白色物质的神经结构的信息。在过去的10年中，弥散MRI在广泛的神经科学研究中被证明是极其重要的;对于上述神经退行性疾病，以及对于脑发育研究和神经外科规划。因此，弥散MRI提供了一种独特的工具来研究解剖连接，并更好地了解大脑是如何连接的。