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SYSTEMS AND METHODS FOR ESTIMATING PHYSIOLOGICAL HEART MEASUREMENTS FROM MEDICAL IMAGES AND CLINICAL DATA

机译:从医学图像和临床数据估计生理心脏测量值的系统和方法

摘要

Methods and systems for estimating physiological heart measurements from medical images and clinical data are disclosed. Patient-specific anatomical models of the heart are generated from the patient ' s medical image data. The patient-specific multi-physics computed cardiac model can be applied to patient-specific anatomical models by personalizing parameters of the cardiac electrophysiology model, cardiac biomechanical model, or cardiac hemodynamic model based on the patient ' s medical image data and clinical measurements . The patient's cardiac function is simulated using a patient-specific multi-physics computed cardiac model. The parameters may be personalized by inverse problem algorithms based on forward model simulations or the parameters may be personalized using a machine-learning based statistical model.
机译:公开了用于从医学图像和临床数据估计生理心脏测量值的方法和系统。根据患者的医学图像数据生成特定于患者的心脏解剖模型。通过基于患者的医学图像数据和临床测量值个性化心脏电生理模型,心脏生物力学模型或心脏血液动力学模型的参数,可以将患者特定的多物理场计算的心脏模型应用于患者特定的解剖模型。使用患者特定的多物理场计算的心脏模型模拟患者的心脏功能。可以通过基于正向模型仿真的反问题算法对参数进行个性化设置,也可以使用基于机器学习的统计模型对参数进行个性化设置。

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