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1.发明授权Method and system for automatic quantification of aortic valve function from 4D computed tomography data using a physiological model 有权使用生理模型从4D计算机断层扫描数据自动定量主动脉瓣功能的方法和系统公开(公告)号：US08009887B2
公开(公告)日：2011-08-30
申请号：US12288215
申请日：2008-10-17
申请人： Razvan Ionasec , Bogdan Georgescu , Helene C. Houle , Sebastian Vogt , Michael Scheuering , Estelle Camus , Dorin Comaniciu
发明人： Razvan Ionasec , Bogdan Georgescu , Helene C. Houle , Sebastian Vogt , Michael Scheuering , Estelle Camus , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K2209/051 , G06T7/0016 , G06T7/251 , G06T17/20 , G06T2207/10076 , G06T2207/10136 , G06T2207/20076 , G06T2207/20081 , G06T2207/30048
摘要： A method and system for modeling the aortic valve in 4D image data, such as 4D CT and echocardiography, is disclosed. An initial estimate of a physiological aortic valve model is determined for at least one reference frame of a 4D image sequence based on anatomic features in the reference frame. The initial estimate is refined to generate a final estimate in the reference frame. A dynamic model of the aortic valve is then generated by estimating the physiological aortic valve model for each remaining frame of the 4D image sequence based on the final estimate in the reference frame. The aortic valve can be quantitatively evaluated using the dynamic model.
摘要翻译： 公开了用于4D图像数据建模主动脉瓣的方法和系统，如4D CT和超声心动图。 基于参考系中的解剖特征，为4D图像序列的至少一个参考帧确定生理主动脉瓣模型的初始估计。 改进初始估计以在参考系中产生最终估计。 然后通过基于参考框架中的最终估计估计4D图像序列的每个剩余帧的生理主动脉瓣模型来生成主动脉瓣的动态模型。 主动脉瓣可以使用动态模型进行定量评估。
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2.发明申请Method and system for automatic quantification of aortic valve function from 4D computed tomography data using a physiological model 有权使用生理模型从4D计算机断层扫描数据自动定量主动脉瓣功能的方法和系统公开(公告)号：US20090123050A1
公开(公告)日：2009-05-14
申请号：US12288215
申请日：2008-10-17
申请人： Razvan Ionasec , Bogdan Georgescu , Helene C. Houle , Sebastian Vogt , Michael Scheuering , Estelle Camus , Dorin Comaniciu
发明人： Razvan Ionasec , Bogdan Georgescu , Helene C. Houle , Sebastian Vogt , Michael Scheuering , Estelle Camus , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K2209/051 , G06T7/0016 , G06T7/251 , G06T17/20 , G06T2207/10076 , G06T2207/10136 , G06T2207/20076 , G06T2207/20081 , G06T2207/30048
摘要： A method and system for modeling the aortic valve in 4D image data, such as 4D CT and echocardiography, is disclosed. An initial estimate of a physiological aortic valve model is determined for at least one reference frame of a 4D image sequence based on anatomic features in the reference frame. The initial estimate is refined to generate a final estimate in the reference frame. A dynamic model of the aortic valve is then generated by estimating the physiological aortic valve model for each remaining frame of the 4D image sequence based on the final estimate in the reference frame. The aortic valve can be quantitatively evaluated using the dynamic model.
摘要翻译： 公开了用于4D图像数据建模主动脉瓣的方法和系统，如4D CT和超声心动图。 基于参考系中的解剖特征，为4D图像序列的至少一个参考帧确定生理主动脉瓣模型的初始估计。 改进初始估计以在参考系中产生最终估计。 然后通过基于参考框架中的最终估计估计4D图像序列的每个剩余帧的生理主动脉瓣模型来生成主动脉瓣的动态模型。 主动脉瓣可以使用动态模型进行定量评估。
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3.发明授权公开(公告)号：US08218845B2
公开(公告)日：2012-07-10
申请号：US12315343
申请日：2008-12-01
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将生理性肺动脉干模型拟合为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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4.发明申请Method and system for dynamic pulmonary trunk modeling in computed tomography and magnetic resonance imaging 有权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
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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公开(公告)号：US20100067768A1
公开(公告)日：2010-03-18
申请号：US12562483
申请日：2009-09-18
IPC分类号： G06K9/00
CPC分类号： G06T7/35 , G06K9/621 , G06K2209/05 , G06T7/344
摘要： A method and system for physiological image registration and fusion is disclosed. A physiological model of a target anatomical structure in estimated each of a first image and a second image. The physiological model is estimated using database-guided discriminative machine learning-based estimation. A fused image is then generated by registering the first and second images based on correspondences between the physiological model estimated in each of the first and second images.
摘要翻译： 公开了一种用于生理图像配准和融合的方法和系统。 估计每个第一图像和第二图像中的目标解剖结构的生理模型。 使用数据库引导的基于判别机器学习的估计来估计生理模型。 然后通过基于在第一和第二图像中的每一个中估计出的生理模型之间的对应来登记第一和第二图像来生成融合图像。
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公开(公告)号：US09547902B2
公开(公告)日：2017-01-17
申请号：US12562483
申请日：2009-09-18
CPC分类号： G06T7/35 , G06K9/621 , G06K2209/05 , G06T7/344
摘要： A method and system for physiological image registration and fusion is disclosed. A physiological model of a target anatomical structure in estimated each of a first image and a second image. The physiological model is estimated using database-guided discriminative machine learning-based estimation. A fused image is then generated by registering the first and second images based on correspondences between the physiological model estimated in each of the first and second images.
摘要翻译： 公开了一种用于生理图像配准和融合的方法和系统。 估计每个第一图像和第二图像中的目标解剖结构的生理模型。 使用数据库引导的基于判别机器学习的估计来估计生理模型。 然后通过基于在第一和第二图像中的每一个中估计出的生理模型之间的对应来登记第一和第二图像来生成融合图像。
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7.发明授权公开(公告)号：US09405996B2
公开(公告)日：2016-08-02
申请号：US12562454
申请日：2009-09-18
CPC分类号： G06K9/6256 , G06F19/00 , G06F19/321 , G06K2209/051 , G06T7/12 , G06T7/149 , G06T13/20 , G06T17/00 , G06T2207/30048 , G06T2210/41 , G16H50/50
摘要： A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT) or echocardiography image data, of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A patient specific anatomical heart model is generated by integrating the individual models for each of the heart components.
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，例如计算机断层扫描（CT）或超声心动图像数据。 用于多个心脏组件的单独模型，例如左心室（LV）心内膜，LV心外膜，右心室（RV），左心房（LA），右心房（RA），二尖瓣，主动脉瓣，主动脉和肺动脉干， 在所述体积心脏图像数据中估计。 患者特异性解剖心脏模型是通过对每个心脏部件的各个模型进行整合来产生的。
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公开(公告)号：US20100070249A1
公开(公告)日：2010-03-18
申请号：US12562454
申请日：2009-09-18
CPC分类号： G06K9/6256 , G06F19/00 , G06F19/321 , G06K2209/051 , G06T7/12 , G06T7/149 , G06T13/20 , G06T17/00 , G06T2207/30048 , G06T2210/41 , G16H50/50
摘要： A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT) or echocardiography image data, of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A patient specific anatomical heart model is generated by integrating the individual models for each of the heart components.
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，例如计算机断层扫描（CT）或超声心动图像数据。 用于多个心脏组件的单独模型，例如左心室（LV）心内膜，LV心外膜，右心室（RV），左心房（LA），右心房（RA），二尖瓣，主动脉瓣，主动脉和肺动脉干， 在所述体积心脏图像数据中估计。 患者特异性解剖心脏模型是通过对每个心脏部件的各个模型进行整合来产生的。
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公开(公告)号：US09585632B2
公开(公告)日：2017-03-07
申请号：US14259801
申请日：2014-04-23
申请人： Jingjing Kanik , Puneet Sharma , Tommaso Mansi , Razvan Ionasec , Ali Kamen , Dorin Comaniciu , James S. Duncan
发明人： Jingjing Kanik , Puneet Sharma , Tommaso Mansi , Razvan Ionasec , Ali Kamen , Dorin Comaniciu , James S. Duncan
CPC分类号： A61B8/0883 , A61B8/5223 , A61B8/5276
摘要： A mechanical property of anatomy is estimated from a patient in vivo, such as estimating a patient-specific material property of a valve. A morphological model is used to determine anatomy dynamics. A biomechanical model, using the anatomy dynamics, predicts the dynamics, based, at least in part, on one or more material properties. Using an inverse solution based on comparison of dynamics predicted by the biomechanical model and the dynamics determined from the morphological model, values for the material properties are determined.
摘要翻译： 从患者身体估计解剖学的机械性质，例如估计瓣膜的患者特异性材料性质。 使用形态学模型来确定解剖动力学。 使用解剖动力学的生物力学模型预测动力学，至少部分地基于一种或多种材料性质。 使用基于生物力学模型预测的动力学与从形态学模型确定的动力学的比较的逆解决方案，确定材料性质的值。
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公开(公告)号：US20150305706A1
公开(公告)日：2015-10-29
申请号：US14259801
申请日：2014-04-23
申请人： Jingjing Kanik , Puneet Sharma , Tommaso Mansi , Razvan Ionasec , Ali Kamen , Dorin Comaniciu , James S. Duncan
发明人： Jingjing Kanik , Puneet Sharma , Tommaso Mansi , Razvan Ionasec , Ali Kamen , Dorin Comaniciu , James S. Duncan
IPC分类号： A61B8/08
CPC分类号： A61B8/0883 , A61B8/5223 , A61B8/5276
摘要： A mechanical property of anatomy is estimated from a patient in vivo, such as estimating a patient-specific material property of a valve. A morphological model is used to determine anatomy dynamics. A biomechanical model, using the anatomy dynamics, predicts the dynamics, based, at least in part, on one or more material properties. Using an inverse solution based on comparison of dynamics predicted by the biomechanical model and the dynamics determined from the morphological model, values for the material properties are determined.
摘要翻译： 从患者身体估计解剖学的机械性质，例如估计瓣膜的患者特异性材料性质。 使用形态学模型来确定解剖动力学。 使用解剖动力学的生物力学模型预测动力学，至少部分地基于一种或多种材料性质。 使用基于生物力学模型预测的动力学与从形态学模型确定的动力学的比较的逆解决方案，确定材料性质的值。
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