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100 条记录 (耗时 0.023 秒)

    Method and System for Pericardium Based Model Fusion of Pre-operative and Intra-operative Image Data for Cardiac Interventions
    2.
    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 Model-Based Fusion of Computed Tomography and Non-Contrasted C-Arm Computed Tomography
    7.
    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 Registration of Ultrasound and Physiological Models to X-ray Fluoroscopic Images
    8.
    发明申请
    Method and System for Registration of Ultrasound and Physiological Models to X-ray Fluoroscopic Images 有权
    超声和生理模型注射X射线荧光镜图像的方法和系统

    公开(公告)号：US20120296202A1

    公开(公告)日：2012-11-22

    申请号：US13475048

    申请日：2012-05-18

    申请人： Peter Mountney ,  Markus Kaiser ,  Ingmar Voigt ,  Matthias John ,  Razvan Ioan Ionasec ,  Jan Boese ,  Dorin Comaniciu

    发明人： Peter Mountney ,  Markus Kaiser ,  Ingmar Voigt ,  Matthias John ,  Razvan Ioan Ionasec ,  Jan Boese ,  Dorin Comaniciu

    IPC分类号： A61B6/02 ,  A61B8/12

    CPC分类号： A61B6/12 ,  A61B6/4417 ,  A61B6/4441 ,  A61B6/487 ,  A61B6/503 ,  A61B6/5247 ,  A61B8/0841 ,  A61B8/0883 ,  A61B8/12 ,  A61B8/4245 ,  A61B8/4416 ,  A61B8/5261

    摘要： A method and system for registering ultrasound images and physiological models to x-ray fluoroscopy images is disclosed. A fluoroscopic image and an ultrasound image, such as a Transesophageal Echocardiography (TEE) image, are received. A 2D location of an ultrasound probe is detected in the fluoroscopic image. A 3D pose of the ultrasound probe is estimated based on the detected 2D location of the ultrasound probe in the fluoroscopic image. The ultrasound image is mapped to a 3D coordinate system of a fluoroscopic image acquisition device used to acquire the fluoroscopic image based on the estimated 3D pose of the ultrasound probe. The ultrasound image can then be projected into the fluoroscopic image using a projection matrix associated with the fluoroscopic image. A patient specific physiological model can be detected in the ultrasound image and projected into the fluoroscopic image.

    摘要翻译： 公开了一种用于将超声图像和生理模型记录到X射线透视图像的方法和系统。 接收透视图像和超声图像，如经食道超声心动图（TEE）图像。 在透视图像中检测超声探头的2D位置。 基于在荧光镜图像中检测到的超声波探头的2D位置来估计超声探头的3D姿态。 超声图像被映射到用于根据超声探头的估计3D姿势获取荧光镜图像的荧光镜图像采集装置的3D坐标系。 然后可以使用与透视图像相关联的投影矩阵将超声图像投影到透视图像中。 可以在超声图像中检测患者特异性生理模型并将其投影到透视图像中。