利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

15 条记录 (耗时 0.026 秒)

    Method and System for Model-Based Fusion of Computed Tomography and Non-Contrasted C-Arm Computed Tomography
    1.
    发明申请
    Method and System for Model-Based Fusion of Computed Tomography and Non-Contrasted C-Arm Computed Tomography 有权
    计算机断层扫描和非对比C臂计算机断层扫描的基于模型融合的方法和系统

    公开(公告)号：US20130129174A1

    公开(公告)日：2013-05-23

    申请号：US13683224

    申请日：2012-11-21

    申请人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Matthias John ,  Jan Boese ,  Christian Gesell ,  Dorin Comaniciu

    发明人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Matthias John ,  Jan Boese ,  Christian Gesell ,  Dorin Comaniciu

    IPC分类号： G06T7/00

    CPC分类号： G06T7/0012 ,  G06T7/344 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10121 ,  G06T2207/20081 ,  G06T2207/20221 ,  G06T2207/30048 ,  G06T2207/30061 ,  G06T2207/30101

    摘要： A method and system for model-based fusion of multi-modal volumetric images is disclosed. A first patient-specific model of an anchor anatomical structure is detected in a first medical image acquired using a first imaging modality, and a second patient-specific model of the anchor anatomical structure is detected in a second medical image acquired using a second imaging modality. A weighted mapping function is determined based on the first patient-specific model of the anchor anatomical structure and the second patient-specific model of the anchor anatomical structure using learned weights to minimize mapping error with respect to a target anatomical structure. The target anatomical structure from the first medical image to the second medical image using the weighted mapping function. In an application of this model-based fusion to transcatheter valve therapies, the trachea bifurcation is used as the anchor anatomical structure and the aortic valve is the target anatomical structure.

    摘要翻译： 公开了一种用于多模态体积图像的基于模型融合的方法和系统。 在使用第一成像模态获取的第一医疗图像中检测锚固解剖结构的第一患者特定模型，并且在使用第二成像模态获取的第二医疗图像中检测锚固解剖结构的第二患者特定模型 。 基于锚解剖结构的第一患者特定模型和使用学习权重的锚定解剖结构的第二患者特定模型来确定加权映射函数，以使关于目标解剖结构的映射误差最小化。 使用加权映射函数从第一医学图像到第二医学图像的目标解剖结构。 在这种基于模型的融合对经导管瓣膜治疗的应用中，气管分叉用作锚固解剖结构，主动脉瓣是目标解剖结构。

    Method and System for Pericardium Based Model Fusion of Pre-operative and Intra-operative Image Data for Cardiac Interventions
    4.
    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。

    Method and system for comprehensive patient-specific modeling of the heart
    10.
    发明授权
    Method and system for comprehensive patient-specific modeling of the heart 有权
    心脏综合患者特异性建模的方法和系统

    公开(公告)号：US08682626B2

    公开(公告)日：2014-03-25

    申请号：US13091076

    申请日：2011-04-20

    申请人： Razvan Ioan Ionasec ,  Ingmar Voigt ,  Viorel Mihalef ,  Sasa Grbic ,  Dime Vitanovski ,  Yang Wang ,  Yefeng Zheng ,  Bogdan Georgescu ,  Dorin Comaniciu ,  Puneet Sharma ,  Tommaso Mansi

    发明人： Razvan Ioan Ionasec ,  Ingmar Voigt ,  Viorel Mihalef ,  Sasa Grbic ,  Dime Vitanovski ,  Yang Wang ,  Yefeng Zheng ,  Bogdan Georgescu ,  Dorin Comaniciu ,  Puneet Sharma ,  Tommaso Mansi

    IPC分类号： G06G7/48

    CPC分类号： G06T13/20 ,  G06F19/321 ,  G06T2210/24 ,  G06T2210/41 ,  G16H50/50

    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。