首页> 外国专利> SYSTEMS AND METHODS FOR PREDICTING CORONARY PLAQUE VULNERABILITY FROM PATIENT-SPECIFIC ANATOMIC IMAGE DATA

SYSTEMS AND METHODS FOR PREDICTING CORONARY PLAQUE VULNERABILITY FROM PATIENT-SPECIFIC ANATOMIC IMAGE DATA

机译:从患者特定的解剖学图像数据中预测冠状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; calculating an adverse plaque characteristic from said one or more; determining locations of the patient's vascular system for which plaque vulnerability may be identified; determining, for each determined location, a feature vector comprising a numerical description of at least one of: the geometry, biophysical hemodynamics, and wall or plaque biomechanical characteristics at that location, and physiological or phenotypic parameters of the patient; and determining, using the processor, a plaque vulnerability present in the patient's vascular system based on the feature vectors.
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;根据所述一个或多个来计算不良菌斑特征;确定可以识别斑块易损性的患者血管系统的位置;对于每个确定的位置,确定特征向量,该特征向量包括以下至少一项的数值描述:该位置的几何形状,生物物理血流动力学,壁或斑块生物力学特征以及患者的生理或表型参数;并使用处理器基于特征向量确定患者血管系统中存在的斑块易损性。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号