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Systems and methods for predicting perfusion deficits from physiological, anatomical, and patient characteristics

机译:根据生理,解剖学和患者特征预测灌注不足的系统和方法

摘要

Systems and methods are disclosed for using patient specific anatomical models and physiological parameters to estimate perfusion of a target tissue to guide diagnosis or treatment of cardiovascular disease. One method includes receiving a patient-specific vessel model and a patent-specific tissue model of a patient anatomy; extracting one or more patient-specific physiological parameters (e.g. blood flow, anatomical characteristics, image characteristics, etc.) from the vessel or tissue models for one or more physiological states of the patient; estimating a characteristic of the perfusion of the patient-specific tissue model (e.g., via a trained machine learning algorithm) using the patient-specific physiological parameters; and outputting the estimated perfusion characteristic to a display.
机译:公开了用于使用患者特定的解剖模型和生理参数来估计靶组织的灌注以指导心血管疾病的诊断或治疗的系统和方法。一种方法包括接收患者解剖结构的患者特定的血管模型和专利特定的组织模型。从血管或组织模型中为患者的一种或多种生理状态提取一种或多种患者特异性的生理参数(例如血流,解剖特征,图像特征等);使用患者特定的生理参数估计患者特定的组织模型的灌注特征(例如,通过训练的机器学习算法);并将估计的灌注特性输出到显示器。

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