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    Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model
    22.
    发明授权
    Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model 有权
    使用多物理流体 - 固体心脏模型的医学数据和图像进行高级测量计算和治疗计划的方法和系统

    公开(公告)号：US09129053B2

    公开(公告)日：2015-09-08

    申请号：US13757517

    申请日：2013-02-01

    申请人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    发明人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    IPC分类号： G06F19/00 ,  G06T19/00

    CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06T19/00 ,  G06T2210/41 ,  G16H50/50

    摘要： Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

    摘要翻译： 用于从医学图像和数据计算先进心脏测量的方法和系统; 并且公开了使用患者特定的多物理流体 - 固体心脏模型的治疗计划。 从医学图像患者数据生成左心室和右心室的患者特异性解剖模型。 基于左心室和右心室的患者特异性解剖模型和患者特异性临床数据生成患者特异性计算心脏模型。 计算模型包括生物力学，电生理学和血液动力学。 为了产生患者特异性计算心脏模型，电生理模型的初始患者特异性参数，生物力学模型的初始患者特异性参数和初始患者特异性计算流体动力学（CFD）边界条件被轻微估计。 使用初始患者特异性参数进行耦合的流体结构相互作用（FSI）模拟，并且基于耦合的FSI模拟来改进初始的患者特异性参数。 估计的模型参数然后构成可用于决策的新的高级测量。

    Method and System for Advanced Measurements Computation and Therapy Planning from Medical Data and Images Using a Multi-Physics Fluid-Solid Heart Model
    23.
    发明申请
    Method and System for Advanced Measurements Computation and Therapy Planning from Medical Data and Images Using a Multi-Physics Fluid-Solid Heart Model 有权
    使用多物理流体固体心脏模型的医学数据和图像的高级测量计算和治疗计划的方法和系统

    公开(公告)号：US20130197884A1

    公开(公告)日：2013-08-01

    申请号：US13757517

    申请日：2013-02-01

    申请人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    发明人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    IPC分类号： G06F19/00

    CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06T19/00 ,  G06T2210/41 ,  G16H50/50

    摘要： Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

    摘要翻译： 用于从医学图像和数据计算先进心脏测量的方法和系统; 并且公开了使用患者特定的多物理流体 - 固体心脏模型的治疗计划。 从医学图像患者数据生成左心室和右心室的患者特异性解剖模型。 基于左心室和右心室的患者特异性解剖模型和患者特异性临床数据生成患者特异性计算心脏模型。 计算模型包括生物力学，电生理学和血液动力学。 为了产生患者特异性计算心脏模型，电生理模型的初始患者特异性参数，生物力学模型的初始患者特异性参数和初始患者特异性计算流体动力学（CFD）边界条件被轻微估计。 使用初始患者特异性参数进行耦合的流体结构相互作用（FSI）模拟，并且基于耦合的FSI模拟来改进初始的患者特异性参数。 估计的模型参数然后构成可用于决策的新的高级测量。

    Method and System for Pericardium Based Model Fusion of Pre-operative and Intra-operative Image Data for Cardiac Interventions
    28.
    发明申请
    Method and System for Pericardium Based Model Fusion of Pre-operative and Intra-operative Image Data for Cardiac Interventions 有权
    心包干预术前和术中图像数据心包模型融合方法与系统

    公开(公告)号：US20130294667A1

    公开(公告)日：2013-11-07

    申请号：US13765712

    申请日：2013-02-13

    申请人： Yefeng Zheng ,  Razvan Ioan Ionasec ,  Sasa Grbic ,  Matthias John ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Razvan Ioan Ionasec ,  Sasa Grbic ,  Matthias John ,  Jan Boese ,  Dorin Comaniciu

    IPC分类号： G06T7/00

    CPC分类号： G06T7/00 ,  A61B6/12 ,  A61B6/4441 ,  A61B6/503 ,  A61B6/5235 ,  G06F19/00 ,  G06K9/6247 ,  G06T7/0012 ,  G06T7/30 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2207/30101

    摘要： A method and system for model based fusion pre-operative image data, such as computed tomography (CT), and intra-operative C-arm CT is disclosed. A first pericardium model is segmented in the pre-operative image data and a second pericardium model is segmented in a C-arm CT volume. A deformation field is estimated between the first pericardium model and the second pericardium model. A model of a target cardiac structure, such as a heart chamber model or an aorta model, extracted from the pre-operative image data is fused with the C-arm CT volume based on the estimated deformation field between the first pericardium model and the second pericardium model. An intelligent weighted average may be used improve the model based fusion results using models of the target cardiac structure extracted from pre-operative image data of patients other than a current patient.

    摘要翻译： 公开了一种用于基于模型的融合术前图像数据的方法和系统，例如计算机断层摄影（CT）和手术中C臂CT。 在手术前图像数据中分割第一心包模型，并在C臂CT体积中分割第二心包模型。 在第一心包模型和第二心包模型之间估计变形场。 基于估计的第一心包模型与第二心包模型之间的变形场，将从手术前图像数据提取的目标心脏结构（例如心室模型或主动脉模型）的模型与C臂CT体积融合 心包模型。 可以使用智能加权平均值，使用从当前患者以外的患者的术前图像数据提取的目标心脏结构模型来改进基于模型的融合结果。