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Method and system for patient specific planning of cardiac therapies on preoperative clinical data and medical images

机译:在术前临床数据和医学图像上针对患者进行心脏治疗的具体计划的方法和系统

摘要

A method and system for patient-specific planning of cardiac therapy, such as cardiac resynchronization therapy (CRT), based on preoperative clinical data and medical images, such as ECG data, magnetic resonance imaging (MRI) data, and ultrasound data, is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image data of a patient. A patient-specific computational heart model, which comprises cardiac electrophysiology, biomechanics and hemodynamics, is generated based on the patient-specific anatomical model of the left and right ventricles and clinical data. Simulations of cardiac therapies, such as CRT at one or more anatomical locations are performed using the patient-specific computational heart model. Changes in clinical cardiac parameters are then computed from the patient-specific model, constituting predictors of therapy outcome useful for therapy planning and optimization.
机译:公开了一种基于患者术前临床数据和医学图像(例如ECG数据,磁共振成像(MRI)数据和超声数据)的针对患者的心脏治疗(例如心脏再同步治疗(CRT))的特定计划的方法和系统。从患者的医学图像数据生成左心室和右心室的患者特定解剖模型。基于左心室和右心室的患者特定解剖模型和临床数据,生成包含心脏电生理学,生物力学和血液动力学的患者特定计算心脏模型。使用患者特定的计算心脏模型对心脏疗法(例如在一个或多个解剖位置的CRT)进行仿真。然后从患者特定模型中计算出临床心脏参数的变化,从而构成可用于治疗计划和优化的治疗结果的预测指标。

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