Quantitative Perfusion Calibration of FMRI

描述（由申请人提供）：MRI自动斑块检测和分类在破坏/侵蚀的人类动脉粥样硬化病变上的急性血栓形成在急性冠状动脉综合征的发生和动脉粥样硬化的进展中起着关键作用。病理证据清楚地表明，是斑块组成而不是狭窄的严重程度调节斑块易损性和血栓形成性。因此，检测和表征动脉粥样硬化病变的可能性将具有重要的临床意义。在不同的成像方式中，MRI似乎是最有前途的，除了它的非侵入性方法。我们建议开发一种自动MRI图像分析系统，用于检测、测量和分类动脉粥样硬化斑块。该项目将由一个在信号处理、模式识别、统计和产品开发方面经验丰富的专家团队进行，并与主要心血管研究人员密切合作，在MRI成像和动脉粥样硬化方面具有专门知识。自动化将建立一个快速、客观（独立于观察者）和标准的斑块负担诊断测量，允许在实验室之间、纵向研究中和不同成像设备之间比较结果。在临床环境中，该系统将大大减少测量狭窄程度和检测血栓形成倾向斑块的诊断费用。

DESCRIPTION (provided by applicant): Automated Plaque Detection and Classification using MRI Acute thrombus formation on disrupted/eroded human atherosclerotic lesions plays a critical role on the onset of acute coronary syndromes and progression of atherosclerosis. Pathological evidence has clearly established that it is plaque composition rather than stenotic severity that modulates plaque vulnerability and thrombogenicity. Therefore, the possibility of detecting and characterizing atherosclerotic lesions would have significant clinical implications. Among the different imaging modalities, MRI seems to be the most promising in addition to its non-invasive approach. We propose to develop an automated MRI image analysis system for detecting, measuring, and classifying atherosclerotic plaques. The proposed project will be conducted by a highly experienced team of experts in signal processing, pattern recognition, statistics, and product development in close collaboration with key cardiovascular researchers, with specific expertise in MRI imaging and atherosclerosis. Automation would establish a fast, objective (observer-independent), and standard diagnostic measure of plaque burden, allowing for comparison of results between laboratories, throughout longitudinal studies, and across different imaging equipment. In a clinical setting, this system would greatly reduce the diagnostic costs involved in measuring the degree of stenosis and detecting thrombosis-prone plaques.