Cardiac flow quantification with volumetric imaging data
    75.
    发明授权
    Cardiac flow quantification with volumetric imaging data 有权
    心脏流量定量与体积成像数据

    公开(公告)号:US08696579B2

    公开(公告)日:2014-04-15

    申请号:US13151803

    申请日:2011-06-02

    IPC分类号: A61B8/00

    摘要: A method quantifies cardiac volume flow for an imaging sequence. The method includes receiving data representing three-dimensions and color Doppler flow data over a plurality of frames, constructing a ventricular model based on the data representing three-dimensions for the plurality of frames, the ventricular model including a sampling plane configured to measure the cardiac volume flow, computing volume flow samples based on the sampling plane and the color Doppler flow data, and correcting the volume flow samples for aliasing based on volumetric change in the ventricular model between successive frames of the plurality of frames.

    摘要翻译: 一种方法量化成像序列的心脏体积流量。 该方法包括在多个帧上接收表示三维和彩色多普勒流数据的数据,基于代表多个帧的三维的数据构建心室模型,心室模型包括被配置成测量心脏的采样平面 体积流量,基于采样平面和彩色多普勒流数据的计算体积流量样本,以及基于多个帧的连续帧之间的心室模型的体积变化来校正用于混叠的体积流量样本。

    Method and System for Multi-Scale Anatomical and Functional Modeling of Coronary Circulation
    77.
    发明申请
    Method and System for Multi-Scale Anatomical and Functional Modeling of Coronary Circulation 审中-公开
    冠状动脉循环多尺度解剖与功能建模方法与系统

    公开(公告)号:US20130132054A1

    公开(公告)日:2013-05-23

    申请号:US13672781

    申请日:2012-11-09

    IPC分类号: G06F19/12

    摘要: A method and system for multi-scale anatomical and functional modeling of coronary circulation is disclosed. A patient-specific anatomical model of coronary arteries and the heart is generated from medical image data of a patient. A multi-scale functional model of coronary circulation is generated based on the patient-specific anatomical model. Blood flow is simulated in at least one stenosis region of at least one coronary artery using the multi-scale function model of coronary circulation. Hemodynamic quantities, such as fractional flow reserve (FFR), are computed to determine a functional assessment of the stenosis, and virtual intervention simulations are performed using the multi-scale function model of coronary circulation for decision support and intervention planning.

    摘要翻译: 公开了一种用于冠状循环多尺度解剖和功能建模的方法和系统。 冠状动脉和心脏的患者特异性解剖模型由患者的医学图像数据产生。 基于患者特异性解剖模型产生冠状动脉循环的多尺度功能模型。 使用冠状动脉循环的多尺度功能模型在至少一个冠状动脉的至少一个狭窄区域中模拟血流量。 计算血流动力学量,例如分数流量储备(FFR),以确定狭窄的功能评估,并使用冠状动脉循环的多尺度函数模型进行虚拟干预模拟,以进行决策支持和干预计划。

    Method and system for computational modeling of the aorta and heart
    78.
    发明授权
    Method and system for computational modeling of the aorta and heart 有权
    主动脉和心脏的计算建模方法和系统

    公开(公告)号:US08224640B2

    公开(公告)日:2012-07-17

    申请号:US12825905

    申请日:2010-06-29

    摘要: A method and system for generating a patient specific anatomical heart model is disclosed. A sequence of volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. A multi-component patient specific 4D geometric model of the heart and aorta estimated from the sequence of volumetric cardiac imaging data. A patient specific 4D computational model based on one or more of personalized geometry, material properties, fluid boundary conditions, and flow velocity measurements in the 4D geometric model is generated. Patient specific material properties of the aortic wall are estimated using the 4D geometrical model and the 4D computational model. Fluid Structure Interaction (FSI) simulations are performed using the 4D computational model and estimated material properties of the aortic wall, and patient specific clinical parameters are extracted based on the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters.

    摘要翻译: 公开了一种用于产生患者特异性解剖心脏模型的方法和系统。 接收患者心脏区域的体积图像数据的序列,例如计算机断层摄影(CT),超声心动图或磁共振(MR)图像数据。 根据体积心脏成像数据序列估计的心脏和主动脉的多组分患者特定4D几何模型。 产生了基于4D几何模型中的个性化几何,材料特性,流体边界条件和流速测量中的一个或多个的患者特定4D计算模型。 使用4D几何模型和4D计算模型估计主动脉壁的患者特异性材料性质。 使用4D计算模型和主动脉壁的估计材料特性进行流体结构相互作用(FSI)模拟,并且基于FSI模拟提取患者特异性临床参数。 疾病进展模型和风险分层是根据患者的具体临床参数进行的。