Shape Analysis in Medical Imaging

医学成像中的形状分析

• 批准号: 1000231973-2017
• 负责人: Lombaert, Herve
• 金额: $ 8.74万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695971
• 关键词: Shape; Analysis; Medical; Imaging

Shape analysis is fundamental to medical imaging. This research aims to explore and exploit the role of geometry in the elaboration of shape-based biomarkers for diseases affecting brain morphology. The specific objectives are to (i) develop shape-based models to quantify multiscale variations of geometry and topology in brain structures, (ii) develop statistical frameworks to combine heterogeneous datasets with unlabeled neuroimaging data, and (iii) determine shape dynamics in brain atrophy to identify a risk of neurodegeneration. These advances in shape analysis will provide a new family of shape-based biomarkers, discovering much smaller details of anatomy using largely unexplored medical imaging data.

形状分析对于医学成像至关重要。这项研究旨在探索和利用几何学在影响脑形态的疾病的基于形状的生物标志物中的作用。具体目标是（i）开发基于形状的模型来量化大脑结构中几何和拓扑的多尺度变化，（ii）开发统计框架，将异质数据集与未标记的神经影像数据相结合，（iii）确定脑部萎缩的形状动态，以确定神经变性的风险。这些形状分析的进步将提供一个新的基于形状的生物标志物的家族，发现使用大量未开发的医学成像数据发现解剖学的细节要小得多。