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A FRAMEWORK FOR PERSONALIZATION OF CORONARY FLOW COMPUTATIONS DURING REST AND HYPEREMIA

机译:静止和充血期间冠状动脉血流计算个性化的框架

摘要

Embodiments relate to non-invasively determining coronary circulation parameters during a rest state and a hyperemic state for a patient. The blood flow in the coronary arteries during a hyperemic state provides a functional assessment of the patient's coronary vessel tree. Imaging techniques are used to obtain an anatomical model of the patient's coronary tree. Rest boundary conditions are computed based on non-invasive measurements taken at a rest state, and estimated hyperemic boundary conditions are computed. A feedback control system performs a simulation matching the rest state utilizing a model based on the anatomical model and a plurality of controllers, each controller relating to respective output variables of the coronary tree. The model parameters are adjusted for the output variables to be in agreement with the rest state measurements, and the hyperemic boundary conditions are accordingly adjusted. The hyperemic boundary conditions are used to compute coronary flow and coronary pressure variables.
机译:实施例涉及在患者的静止状态和充血状态期间无创地确定冠状动脉循环参数。在充血状态下冠状动脉中的血流可对患者的冠状动脉树进行功能评估。成像技术用于获得患者冠状动脉树的解剖模型。基于在静止状态下进行的非侵入式测量来计算静止边界条件,并计算估计的充血边界条件。反馈控制系统利用基于解剖模型的模型和多个控制器执行与静止状态匹配的模拟,每个控制器与冠状动脉树的各个输出变量有关。调整模型参数以使输出变量与静止状态测量值保持一致,并相应调整充血边界条件。充血边界条件用于计算冠脉流量和冠脉压力变量。

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