Method and System for Aortic Valve Calcification Evaluation
    13.
    发明申请
    Method and System for Aortic Valve Calcification Evaluation 有权
    主动脉瓣钙化评估方法与系统

    公开(公告)号:US20130155064A1

    公开(公告)日:2013-06-20

    申请号:US13713603

    申请日:2012-12-13

    IPC分类号: A61B5/055 G06T17/00

    摘要: A method and system for automatic aortic valve calcification evaluation is disclosed. A patient-specific aortic valve model in a 3D medical image volume, such as a 3D computed tomography (CT) volume. Calcifications in a region of the 3D medical image volume defined based on the aortic valve model. A 2D calcification plot is generated that shows locations of the segmented calcifications relative to aortic valve leaflets of the patient-specific aortic valve model. The 2D calcification plot can be used for assessing the suitability of a patient for a Transcatheter Aortic Valve Replacement (TAVI) procedure, as well as risk assessment, positioning of an aortic valve implant, and selection of a type of aortic valve implant.

    摘要翻译: 公开了一种自动主动脉瓣钙化评价方法和系统。 3D医学图像体积中的患者特异性主动脉瓣模型,例如3D计算机断层摄影(CT)体积。 基于主动脉瓣模型定义的3D医学图像体积的区域中的钙化。 生成2D钙化曲线,其显示相对于患者特异性主动脉瓣模型的主动脉瓣叶的分段钙化的位置。 2D钙化图可用于评估患者对于经导管主动脉瓣置换(TAVI)程序的适用性,以及风险评估,主动脉瓣植入物的定位和主动脉瓣植入物的选择。

    Method and System for Comprehensive Patient-Specific Modeling of the Heart
    16.
    发明申请
    Method and System for Comprehensive Patient-Specific Modeling of the Heart 有权
    心脏综合患者特异性建模方法与系统

    公开(公告)号:US20120022843A1

    公开(公告)日:2012-01-26

    申请号:US13091076

    申请日:2011-04-20

    IPC分类号: G06G7/60 G06G7/57

    摘要: A method and system for patient-specific modeling of the whole heart anatomy, dynamics, hemodynamics, and fluid structure interaction from 4D medical image data is disclosed. The anatomy and dynamics of the heart are determined by estimating patient-specific parameters of a physiological model of the heart from the 4D medical image data for a patient. The patient-specific anatomy and dynamics are used as input to a 3D Navier-Stokes solver that derives realistic hemodynamics, constrained by the local anatomy, along the entire heart cycle. Fluid structure interactions are determined iteratively over the heart cycle by simulating the blood flow at a given time step and calculating the deformation of the heart structure based on the simulated blood flow, such that the deformation of the heart structure is used in the simulation of the blood flow at the next time step. The comprehensive patient-specific model of the heart representing anatomy, dynamics, hemodynamics, and fluid structure interaction can be used for non-invasive assessment and diagnosis of the heart, as well as virtual therapy planning and cardiovascular disease management. Parameters of the comprehensive patient-specific model are changed or perturbed to simulate various conditions or treatment options, and then the patient specific model is recalculated to predict the effect of the conditions or treatment options.

    摘要翻译: 公开了一种用于针对4D医学图像数据的整个心脏解剖结构,动力学,血流动力学和流体结构相互作用的患者特异性建模的方法和系统。 通过从患者的4D医学图像数据估计心脏的生理模型的患者特异性参数来确定心脏的解剖学和动力学。 患者特异性解剖学和动力学被用作3D Navier-Stokes求解器的输入,该解算器在整个心脏周期中导出由局部解剖结构约束的现实血液动力学。 流体结构相互作用是通过在给定的时间步长模拟血液流动而在心脏周期上迭代地确定的,并且基于模拟的血液流量计算心脏结构的变形,使得心脏结构的变形用于模拟 血液流动在下一个时间步。 代表解剖学,动力学,血液动力学和流体结构相互作用的心脏综合患者特异性模型可用于心脏的非侵入性评估和诊断,以及虚拟治疗计划和心血管疾病管理。 全面的患者特异性模型的参数被改变或扰动以模拟各种条件或治疗选择,然后重新计算患者特异性模型以预测条件或治疗选择的影响。

    Method and system for hemodynamic assessment of aortic coarctation from medical image data
    19.
    发明授权
    Method and system for hemodynamic assessment of aortic coarctation from medical image data 有权
    医学图像数据主动脉缩窄血流动力学评估方法与系统

    公开(公告)号:US09135699B2

    公开(公告)日:2015-09-15

    申请号:US13826307

    申请日:2013-03-14

    IPC分类号: G06K9/00 G06T7/00

    摘要: A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.

    摘要翻译: 公开了一种用于从医学图像数据(如磁共振成像(MRI))数据进行主动脉缩窄的非侵入性血流动力学评估的方法和系统。 从患者的医学图像数据估计主动脉和超主动脉血管的患者特异性内腔解剖结构,例如对比度增强的MRI。 根据患者的医学图像数据估计患者特异性主动脉血流速率,例如速度编码的相位对比MRI电影图像。 基于患者特异性内腔解剖,患者特异性主动脉血流速率和患者的非侵入性临床测量,计算主动脉血流计算模型的患者特异性入口和出口边界条件。 使用主动脉血流计算模型和患者特定的入口和出口边界条件,计算患者特异性内腔解剖结构的主动脉血流和压力。