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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

A method and system for estimating physiological heart measurements from medical images and clinical data disclosed. A patient-specific anatomical model of the heart is generated from medical image data of the patient. A patient-specific multi-physics computational heart model is generated based on the patient-specific anatomical model by personalizing parameters of a cardiac electrophysiology model, a cardiac biomechanics model, and a cardiac hemodynamics model based on medical image data and clinical measurements of the patient. Cardiac function of the patient is simulated using the patient-specific multi-physics computational heart model. The parameters can be personalized by inverse problem algorithms based on forward model simulations or the parameters can be personalized using a machine-learning based statistical model.
机译:公开了一种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。从患者的医学图像数据生成心脏的患者特定的解剖模型。通过基于医学图像数据和患者的临床测量值个性化心脏电生理模型,心脏生物力学模型和心脏血液动力学模型的参数,基于患者特定的解剖模型来生成患者特定的多物理计算心脏模型。使用特定于患者的多物理场心脏计算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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