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Systems and methods for predicting coronary plaque vulnerability from patient-specific anatomic image data

机译:从患者特定的解剖图像数据预测冠状动脉斑块易损性的系统和方法

摘要

Systems and methods are disclosed for predicting coronary plaque vulnerability, using a computer system. One method includes acquiring anatomical image data of at least part of the patient's vascular system; performing, using a processor, one or more image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data; predicting, using the processor, a coronary plaque vulnerability present in the patient's vascular system, wherein predicting the coronary plaque vulnerability includes calculating an adverse plaque characteristic based on results of the one or more of image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of the anatomical image data; and reporting, using the processor, the calculated adverse plaque characteristic.
机译:公开了使用计算机系统来预测冠状斑块易损性的系统和方法。一种方法包括获取患者血管系统的至少一部分的解剖图像数据。使用处理器对解剖图像数据执行一个或多个图像特征分析,几何分析,计算流体动力学分析和结构力学分析;使用处理器预测患者血管系统中存在的冠状动脉斑块易损性,其中,预测冠状动脉斑块易损性包括基于图像特征分析,几何分析,计算流体动力学分析,解剖图像数据的结构力学分析;并使用处理器报告计算出的不良菌斑特征。

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