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81. 发明申请

US20120087563A1 Method and System for Intraoperative Guidance Using Physiological Image Fusion 有权
标题翻译：使用生理图像融合进行术中指导的方法和系统
公开(公告)号：US20120087563A1
公开(公告)日：2012-04-12
申请号：US13267662
申请日：2011-10-06
申请人： Razvan Ioan Ionasec , Ingmar Voigt , Bogdan Georgescu , Yefeng Zheng , Jan Boese , Klaus Klingenbeck , Dorin Comaniciu
发明人： Razvan Ioan Ionasec , Ingmar Voigt , Bogdan Georgescu , Yefeng Zheng , Jan Boese , Klaus Klingenbeck , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06T19/006 , G06T7/344 , G06T17/00 , G06T2207/10072 , G06T2207/10121 , G06T2207/10136 , G06T2207/30048 , G16H50/50
摘要： A method and system for intraoperative guidance in an off-pump mitral valve repair procedure is disclosed. A plurality of patient-specific models of the mitral valve are generated, each from pre-operative image data obtained using a separate imaging modality. The pre-operative image data from the separate imaging modalities are fused into a common coordinate system by registering the plurality of patient-specific models. A model of the mitral valve is estimated in real-time in intraoperative image data using a fused physiological prior resulting from the registering of the plurality of patient-specific models.
摘要翻译：公开了一种用于非抽血二尖瓣修复手术中术中引导的方法和系统。产生多个患者特异性二尖瓣模型，每个来自使用单独成像模态获得的术前图像数据。来自分开的成像模态的手术前图像数据通过登记多个患者特定模型而融合到公共坐标系中。使用由多个患者特定模型的登记产生的融合生理学先验在实际的术中图像数据中估计二尖瓣的模型。

82. 发明授权

US08150119B2 Method and system for left ventricle endocardium surface segmentation using constrained optimal mesh smoothing 失效
标题翻译：使用约束最优网格平滑的左心室心内膜表面分割的方法和系统
公开(公告)号：US08150119B2
公开(公告)日：2012-04-03
申请号：US12319686
申请日：2009-01-09
申请人： Yefeng Zheng , Bogdan Georgescu , Michael Scheuering , Dorin Comaniciu
发明人： Yefeng Zheng , Bogdan Georgescu , Michael Scheuering , Dorin Comaniciu
IPC分类号： G06K9/34 , G06T15/00
CPC分类号： G06K9/34 , G06K2209/051 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/20124 , G06T2207/30048
摘要： A method and system for left ventricle (LV) endocardium surface segmentation using constrained optimal mesh smoothing is disclosed. The LV endocardium surface in the 3D cardiac volume is initially segmented in a 3D cardiac volume, such as a CT volume, resulting in an LV endocardium surface mesh. A smoothed LV endocardium surface mesh is generated by smoothing the LV endocardium surface mesh using constrained optimal mesh smoothing. The constrained optimal mesh smoothing determines an optimal adjustment for each point on the LV endocardium surface mesh by minimizing an objective function based at least on a smoothness measure, subject to a constraint bounding the adjustment for each point. The adjustment for each point can be constrained to prevent adjustments inward toward the blood pool in order to ensure that the smoothed LV endocardium surface mesh encloses the entire blood pool.
摘要翻译：公开了使用约束最优网格平滑的左心室（LV）心内膜表面分割的方法和系统。 3D心脏体积中的LV心内膜表面最初在3D心脏体积（例如CT体积）中分段，导致LV心内膜表面网。通过使用约束最优网格平滑平滑LV心内膜表面网格来生成平滑的LV心内膜表面网格。受约束的最优网格平滑通过使至少基于平滑度量度的目标函数最小化来限制LV心内膜表面网格上的每个点的最佳调整，受限于对每个点的调整。可以限制每个点的调整以防止向血液向内的调节，以确保平滑的LV心内膜表面网格包围整个血液池。

83. 发明申请

US20110153286A1 Method and System for Virtual Percutaneous Valve Implantation 审中-公开
标题翻译：虚拟经皮瓣植入术的方法与系统
公开(公告)号：US20110153286A1
公开(公告)日：2011-06-23
申请号：US12975714
申请日：2010-12-22
申请人： Dominik Zaeuner , Razvan Ioan Ionasec , Bogdan Georgescu , Yefeng Zheng , Dorin Comaniciu , Ingmar Voigt , Jan Boese
发明人： Dominik Zaeuner , Razvan Ioan Ionasec , Bogdan Georgescu , Yefeng Zheng , Dorin Comaniciu , Ingmar Voigt , Jan Boese
IPC分类号： G06F17/50
CPC分类号： G06T19/00 , G06F19/321 , G06T17/00 , G06T2219/2004 , G16H50/50
摘要： A method and system for virtual percutaneous valve implantation is disclosed. A patient-specific anatomical model of a heart valve is estimated based on 3D cardiac medical image data and an implant model representing a valve implant is virtually deployed into the patient-specific anatomical model of the heart valve. A library of implant models, each modeling geometrical properties of a corresponding valve implant, is maintained. The implant models maintained in the library are virtually deployed into the patient specific anatomical model of the heart valve to select an implant type and size and deployment location and orientation for percutaneous valve implantation.
摘要翻译：公开了一种用于虚拟经皮瓣植入的方法和系统。基于3D心脏医学图像数据估计心脏瓣膜的患者特异性解剖模型，并且代表瓣膜植入物的植入模型实际上部署到心脏瓣膜的患者特异性解剖模型中。植入物模型库，每个建模相应的阀门植入物的几何特性被维持。维护在库中的植入物模型实际上部署到心脏瓣膜的患者特异性解剖模型中，以选择用于经皮瓣膜植入的植入物类型和尺寸以及部署位置和取向。

84. 发明申请

US20110060576A1 Method and System for Computational Modeling of the Aorta and Heart 有权
标题翻译：主动脉和心脏计算建模方法与系统
公开(公告)号：US20110060576A1
公开(公告)日：2011-03-10
申请号：US12825905
申请日：2010-06-29
申请人： Puneet Sharma , Bogdan Georgescu , Razvan Ioan Ionasec , Dorin Comaniciu
发明人： Puneet Sharma , Bogdan Georgescu , Razvan Ioan Ionasec , Dorin Comaniciu
IPC分类号： G06G7/60
CPC分类号： G06T17/00 , G06F19/00 , G06T7/0012 , G06T2207/10072 , G06T2207/30048 , G16H50/20 , G16H50/50
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。

85. 发明授权

US07876934B2 Method of database-guided segmentation of anatomical structures having complex appearances 有权
标题翻译：具有复杂外观的解剖结构的数据库引导分割方法
公开(公告)号：US07876934B2
公开(公告)日：2011-01-25
申请号：US11265772
申请日：2005-11-02
申请人： Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
IPC分类号： G06K9/00
CPC分类号： G06K9/6255 , G06T7/11 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048 , Y10S128/922 , Y10S128/923
摘要： A method for segmenting an anatomical structure of interest within an image is disclosed. The anatomical structure of interest is compared to a database of images of like anatomical structures. Those database images of like anatomical structures that are similar to the anatomical structure of interest are identified. The identified database images are used to detect the anatomical structure of interest in the image. The identified database images are also used to determine the shape of the anatomical structure of interest. The anatomical structure of interest is segmented from the image.
摘要翻译：公开了一种用于分割图像内感兴趣的解剖结构的方法。感兴趣的解剖结构与类似解剖结构的图像的数据库进行比较。识别与感兴趣的解剖结构相似的类似解剖结构的数据库图像。识别的数据库图像用于检测图像中感兴趣的解剖结构。所识别的数据库图像也用于确定感兴趣的解剖结构的形状。感兴趣的解剖结构从图像中分割。

86. 发明授权

US07648460B2 Medical diagnostic imaging optimization based on anatomy recognition 有权
标题翻译：基于解剖识别的医学诊断成像优化
公开(公告)号：US07648460B2
公开(公告)日：2010-01-19
申请号：US11513675
申请日：2006-08-30
申请人： Constantine Simopoulos , Shaohua Kevin Zhou , Jin-hyeong Park , Dorin Comaniciu , Bogdan Georgescu
发明人： Constantine Simopoulos , Shaohua Kevin Zhou , Jin-hyeong Park , Dorin Comaniciu , Bogdan Georgescu
IPC分类号： A61B17/00
CPC分类号： A61B8/00 , A61B6/503 , A61B8/0883 , G06F19/00 , G06F19/321 , G16H50/20
摘要： Anatomical information is identified from a medical image and/or used for controlling a medical diagnostic imaging system, such as an ultrasound system. To identify anatomical information from a medical image, a processor applies a multi-class classifier. The anatomical information is used to set an imaging parameter of the medical imaging system. The setting or identification may be used in combination or separately.
摘要翻译：解剖信息从医学图像识别和/或用于控制诸如超声系统的医学诊断成像系统。为了从医学图像中识别解剖信息，处理器应用多类分类器。解剖信息用于设置医学成像系统的成像参数。设置或标识可以组合使用或分开使用。

87. 发明申请

US20090304251A1 Method and System for Detecting 3D Anatomical Structures Using Constrained Marginal Space Learning 有权
标题翻译：使用约束边际空间学习检测3D解剖结构的方法和系统
公开(公告)号：US20090304251A1
公开(公告)日：2009-12-10
申请号：US12471761
申请日：2009-05-26
申请人： Yefeng Zheng , Bogdan Georgescu , Haibin Ling , Michael Scheuering , Dorin Comaniciu
发明人： Yefeng Zheng , Bogdan Georgescu , Haibin Ling , Michael Scheuering , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/3233 , G06K2209/051 , G06T7/75 , G06T2207/10081 , G06T2207/30004
摘要： A method and apparatus for detecting 3D anatomical objects in medical images using constrained marginal space learning (MSL) is disclosed. A constrained search range is determined for an input medical image volume based on training data. A first trained classifier is used to detect position candidates in the constrained search range. Position-orientation hypotheses are generated from the position candidates using orientation examples in the training data. A second trained classifier is used to detect position-orientation candidates from the position-orientation hypotheses. Similarity transformation hypotheses are generated from the position-orientation candidates based on scale examples in the training data. A third trained classifier is used to detect similarity transformation candidates from the similarity transformation hypotheses, and the similarity transformation candidates define the position, translation, and scale of the 3D anatomic object in the medical image volume.
摘要翻译：公开了一种使用受限边际空间学习（MSL）检测医学图像中3D解剖学对象的方法和装置。基于训练数据确定输入医学图像体积的约束搜索范围。第一训练分类器用于检测约束搜索范围内的位置候选。使用训练数据中的取向示例从位置候选者生成位置取向假设。第二训练分类器用于从位置定向假设检测位置方向候选。基于训练数据中的比例示例，从位置定位候选生成相似度转换假设。第三训练分类器用于从相似变换假设检测相似变换候选，并且相似变换候选定义医学图像体积中的3D解剖对象的位置，平移和比例。

88. 发明申请

US20090226081A1 System and Method for Detecting and Matching Anatomical Structures Using Appearance and Shape 有权
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：US20090226081A1
公开(公告)日：2009-09-10
申请号：US12401899
申请日：2009-03-11
申请人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
IPC分类号： G06K9/62
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.
摘要翻译：公开了一种使用外观和形状匹配解剖结构的检测框架。使用图像的训练集，其中在图像中注释对象形状或结构。图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。训练集训练的分类算法用于检测其位置的结构。该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。

89. 发明申请

US20090226040A1 SYSTEM AND METHOD FOR DETECTING AND MATCHING ANATOMICAL STRUCTURES USING APPEARANCE AND SHAPE 有权
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：US20090226040A1
公开(公告)日：2009-09-10
申请号：US12401909
申请日：2009-03-11
申请人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
IPC分类号： G06T7/20
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.
摘要翻译：公开了一种使用外观和形状匹配解剖结构的检测框架。使用图像的训练集，其中在图像中注释对象形状或结构。图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。训练集训练的分类算法用于检测其位置的结构。该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。

90. 发明申请

US20090154785A1 Method and system for dynamic pulmonary trunk modeling in computed tomography and magnetic resonance imaging 有权
标题翻译：计算机断层扫描和磁共振成像中动态肺动脉造影的方法和系统
公开(公告)号：US20090154785A1
公开(公告)日：2009-06-18
申请号：US12315343
申请日：2008-12-01
申请人： Michael Lynch , Razvan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Dime Vitanovski
发明人： Michael Lynch , Razvan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Dime Vitanovski
IPC分类号： G06T7/00
CPC分类号： G06T7/38 , G06T7/33 , G06T2207/10076 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048
摘要： A method and system for modeling the pulmonary trunk in 4D image data, such as 4D CT and MRI data, is disclosed. Bounding boxes are detected in frames of the 4D image data. Anatomic landmarks are detected in the frames of the 4D image data based on the bounding boxes. Ribs or centerlines of the pulmonary artery are detected in the frames of the 4D image data based on the anatomic landmarks, and a physiological pulmonary trunk model is fit the frames of the 4D image data based on the detected ribs and anatomic landmarks. The boundary of the pulmonary trunk is detected in order to refine the boundary of the pulmonary trunk model in the frames of the 4D image data, resulting in a dynamic model of the pulmonary trunk. The pulmonary trunk can be quantitatively evaluated using the dynamic model.
摘要翻译：公开了4D图像数据（如4D CT和MRI数据）对肺动脉干线进行建模的方法和系统。在4D图像数据的帧中检测边界框。基于边界框在4D图像数据的帧中检测解剖标志。基于解剖标志，在4D图像数据的帧中检测肺动脉的肋或中心线，并且基于检测到的肋和解剖标志，生理性肺动脉干模型适合4D图像数据的帧。检测肺动脉干的边界，以便在4D图像数据的帧中改善肺动脉干模型的边界，得到肺动脉的动态模型。可以使用动态模型定量评估肺动脉干。

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