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21. 发明授权

US09245091B2 Physically-constrained modeling of a heart in medical imaging 有权
标题翻译：医学影像中心脏的物理约束建模
公开(公告)号：US09245091B2
公开(公告)日：2016-01-26
申请号：US13416216
申请日：2012-03-09
申请人： Ingmar Voigt , Razvan Ioan Ionasec , Bogdan Georgescu , Tommaso Mansi , Dorin Comaniciu , Helene C. Houle , Etienne Assoumou Mengue
发明人： Ingmar Voigt , Razvan Ioan Ionasec , Bogdan Georgescu , Tommaso Mansi , Dorin Comaniciu , Helene C. Houle , Etienne Assoumou Mengue
IPC分类号： G06F19/00 , G06T7/00
CPC分类号： G06F19/3437 , G06F19/00 , G06F19/321 , G06T7/149 , G06T7/344 , G06T2207/20081 , G06T2207/30048 , G16H50/50
摘要： Physically-constrained modeling of a heart is provided. Patient-specific data may be used to estimate heart anatomy locations. A model is applied to the data for estimation. For increased accuracy of estimation, the biomechanics of the heart, such as the valve, may be used to constrain the estimation. By applying a dynamic system between estimated anatomy locations of different times, the locations may be deformed or refined. The modeled heart and/or valve may be used to estimate hemodynamics. The resulting velocities or other motion information may be used to emulate ultrasound Doppler imaging for comparing with acquired ultrasound Doppler data. The comparison may validate the modeling.
摘要翻译：提供了心脏的物理约束建模。患者特异性数据可用于估计心脏解剖位置。将模型应用于数据进行估计。为了提高估计精度，可以使用心脏的生物力学（例如阀）来限制估计。通过在不同时间的估计解剖位置之间应用动态系统，位置可以变形或改进。建模的心脏和/或阀可用于估计血液动力学。所得到的速度或其他运动信息可用于模拟超声多普勒成像以与获得的超声多普勒数据进行比较。比较可以验证建模。

22. 发明授权

US08532352B2 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：US08532352B2
公开(公告)日：2013-09-10
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。

23. 发明授权

US08526699B2 Method and system for automatic detection and classification of coronary stenoses in cardiac CT volumes 有权
标题翻译：心脏CT体积冠状动脉狭窄自动检测和分类方法及系统
公开(公告)号：US08526699B2
公开(公告)日：2013-09-03
申请号：US13040716
申请日：2011-03-04
申请人： Sushil Mittal , Yefeng Zheng , Bogdan Georgescu , Fernando Vega-Higuera , Shaohua Kevin Zhou , Dorin Comaniciu , Michael Kelm , Alexey Tsymbal , Dominik Bernhardt
发明人： Sushil Mittal , Yefeng Zheng , Bogdan Georgescu , Fernando Vega-Higuera , Shaohua Kevin Zhou , Dorin Comaniciu , Michael Kelm , Alexey Tsymbal , Dominik Bernhardt
IPC分类号： G06K9/00 , A61B5/05 , A61B5/02 , A61F2/06
CPC分类号： G06T7/0016 , G06T7/143 , G06T2207/10081 , G06T2207/20081 , G06T2207/30101 , G06T2207/30172
摘要： A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed.
摘要翻译：公开了一种在3D CT图像数据中提供冠状动脉狭窄检测和分类的方法和系统。从CT图像数据中提取冠脉血管的中心线。从血管中心线检测和移除非血管区域。使用经过训练的回归函数，基于冠状血管中心线估计管腔的横截面面积。基于估计的管腔横截面积在冠状血管中检测狭窄候选物，并且显着狭窄候选物被自动分类为钙化，非钙化或混合。

24. 发明申请

US20110224542A1 Method and System for Automatic Detection and Classification of Coronary Stenoses in Cardiac CT Volumes 有权
标题翻译：心脏CT卷冠状动脉狭窄自动检测与分类方法与系统
公开(公告)号：US20110224542A1
公开(公告)日：2011-09-15
申请号：US13040716
申请日：2011-03-04
申请人： Sushil Mittal , Yefeng Zheng , Bogdan Georgescu , Fernando Vega-Higuera , Shaohua Kevin Zhou , Dorin Comaniciu , Michael Kelm , Alexey Tsymbal , Dominik Bernhardt
发明人： Sushil Mittal , Yefeng Zheng , Bogdan Georgescu , Fernando Vega-Higuera , Shaohua Kevin Zhou , Dorin Comaniciu , Michael Kelm , Alexey Tsymbal , Dominik Bernhardt
IPC分类号： A61B6/03
CPC分类号： G06T7/0016 , G06T7/143 , G06T2207/10081 , G06T2207/20081 , G06T2207/30101 , G06T2207/30172
摘要： A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed.
摘要翻译：公开了一种在3D CT图像数据中提供冠状动脉狭窄检测和分类的方法和系统。从CT图像数据中提取冠脉血管的中心线。从血管中心线检测和移除非血管区域。使用经过训练的回归函数，基于冠状血管中心线估计管腔的横截面面积。基于估计的管腔横截面积在冠状血管中检测狭窄候选物，并且显着狭窄候选物被自动分类为钙化，非钙化或混合。

25. 发明授权

US09135699B2 Method and system for hemodynamic assessment of aortic coarctation from medical image data 有权
标题翻译：医学图像数据主动脉缩窄血流动力学评估方法与系统
公开(公告)号：US09135699B2
公开(公告)日：2015-09-15
申请号：US13826307
申请日：2013-03-14
申请人： Kristof Ralovich , Lucian Mihai Itu , Viorel Mihalef , Puneet Sharma , Razvan Ioan Ionasec , Dime Vitanovski , Waldemar Krawtschuk , Dorin Comaniciu
发明人： Kristof Ralovich , Lucian Mihai Itu , Viorel Mihalef , Puneet Sharma , Razvan Ioan Ionasec , Dime Vitanovski , Waldemar Krawtschuk , Dorin Comaniciu
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06T7/0012 , G06T2207/10076 , G06T2207/10096 , G06T2207/30104
摘要： A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.
摘要翻译：公开了一种用于从医学图像数据（如磁共振成像（MRI））数据进行主动脉缩窄的非侵入性血流动力学评估的方法和系统。从患者的医学图像数据估计主动脉和超主动脉血管的患者特异性内腔解剖结构，例如对比度增强的MRI。根据患者的医学图像数据估计患者特异性主动脉血流速率，例如速度编码的相位对比MRI电影图像。基于患者特异性内腔解剖，患者特异性主动脉血流速率和患者的非侵入性临床测量，计算主动脉血流计算模型的患者特异性入口和出口边界条件。使用主动脉血流计算模型和患者特定的入口和出口边界条件，计算患者特异性内腔解剖结构的主动脉血流和压力。

26. 发明申请

US20130243294A1 Method and System for Hemodynamic Assessment of Aortic Coarctation from Medical Image Data 有权
标题翻译：医学图像数据主动脉缩窄血流动力学评估方法与系统
公开(公告)号：US20130243294A1
公开(公告)日：2013-09-19
申请号：US13826307
申请日：2013-03-14
申请人： Kristof Ralovich , Lucian Mihai Itu , Viorel Mihalef , Puneet Sharma , Razvan Ioan Ionasec , Dime Vitanovski , Waldemar Krawtschuk , Dorin Comaniciu
发明人： Kristof Ralovich , Lucian Mihai Itu , Viorel Mihalef , Puneet Sharma , Razvan Ioan Ionasec , Dime Vitanovski , Waldemar Krawtschuk , Dorin Comaniciu
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T2207/10076 , G06T2207/10096 , G06T2207/30104
摘要： A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.
摘要翻译：公开了一种用于从医学图像数据（如磁共振成像（MRI））数据进行主动脉缩窄的非侵入性血流动力学评估的方法和系统。从患者的医学图像数据估计主动脉和超主动脉血管的患者特异性内腔解剖结构，例如对比度增强的MRI。根据患者的医学图像数据估计患者特异性主动脉血流速率，例如速度编码的相位对比MRI电影图像。基于患者特异性内腔解剖，患者特异性主动脉血流速率和患者的非侵入性临床测量，计算主动脉血流计算模型的患者特异性入口和出口边界条件。使用主动脉血流计算模型和患者特定的入口和出口边界条件，计算患者特异性内腔解剖结构的主动脉血流和压力。

27. 发明申请

US20100280352A1 Method and System for Multi-Component Heart and Aorta Modeling for Decision Support in Cardiac Disease 失效
标题翻译：多组分心脏和主动脉建模心脏疾病决策支持的方法与系统
公开(公告)号：US20100280352A1
公开(公告)日：2010-11-04
申请号：US12770850
申请日：2010-04-30
申请人： Razvan Ioan Ionasec , Puneet Sharma , Bogdan Georgescu , Andrey Torzhkov , Fabian Moerchen , Gayle M. Wittenberg , Dmitriy Fradkin , Dorin Comaniciu
发明人： Razvan Ioan Ionasec , Puneet Sharma , Bogdan Georgescu , Andrey Torzhkov , Fabian Moerchen , Gayle M. Wittenberg , Dmitriy Fradkin , Dorin Comaniciu
IPC分类号： A61B5/05 , A61B5/00 , G06F17/50 , G06G7/60 , G06N5/02
CPC分类号： A61B5/0263 , G01R33/56 , G01R33/5608 , G06F19/00 , G06F19/321 , G06T17/00 , G16H50/20 , 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), echocardiography, or magnetic resonance (MR) 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 multi-component patient specific anatomical heart model is generated by integrating the individual models for each of the heart components. Fluid Structure Interaction (FSI) simulations are performed on the patient specific anatomical model, and patient specific clinical parameters are extracted based on the patient specific heart model and 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，例如计算机断层摄影（CT），超声心动图或磁共振（MR）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。通过对每个心脏组件的各个模型进行整合，产生多组分患者特异性解剖心脏模型。对患者特异性解剖模型进行流体结构相互作用（FSI）模拟，并根据患者特异性心脏模型和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。

28. 发明授权

US08983809B2 Method and system for patient-specific hemodynamic assessment of virtual stent implantation 有权
标题翻译：虚拟支架植入患者特异性血液动力学评估方法与系统
公开(公告)号：US08983809B2
公开(公告)日：2015-03-17
申请号：US13311989
申请日：2011-12-06
申请人： Puneet Sharma , Viorel Mihalef , Razvan Ioan Ionasec , Bogdan Georgescu , Dorin Comaniciu
发明人： Puneet Sharma , Viorel Mihalef , Razvan Ioan Ionasec , Bogdan Georgescu , Dorin Comaniciu
IPC分类号： G06F17/50 , G06F19/00 , A61F2/90
CPC分类号： G06F19/3437 , A61F2/90 , G06F19/00 , G06F2217/00 , G16H50/50
摘要： A method and system for assessment of virtual stent implantation in an aortic aneurysm is disclosed. A patient-specific 4D anatomical model of the aorta is generated from the 4D medical imaging data. A model representing mechanical properties of the aorta wall is adjusted to reflect changes due to aneurysm growth at a plurality of time stages. A stable deformation configuration of the aorta is generated for each time stages by performing fluid structure interaction (FSI) simulations using the patient-specific 4D anatomical model at each time stage based on the adjusted model representing the mechanical properties of the aorta wall at each time stage. Virtual stent implantation is performed for each stable deformation configuration of the aorta and FSI simulations are performed for each virtual stent implantation.
摘要翻译：公开了一种用于评估主动脉瘤中虚拟支架植入的方法和系统。从4D医学成像数据生成主动脉的患者特定的4D解剖模型。调整表示主动脉壁的机械特性的模型，以反映在多个时间段由于动脉瘤生长引起的变化。通过使用每个时间阶段使用患者特定的4D解剖模型的流体结构相互作用（FSI）模拟，基于每次代表主动脉壁的机械性质的调整模型，对每个时间阶段产生主动脉的稳定变形构型阶段。对于主动脉的每个稳定变形构型执行虚拟支架植入，并且对于每个虚拟支架植入进行FSI模拟。

29. 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。

30. 发明申请

US20120296202A1 Method and System for Registration of Ultrasound and Physiological Models to X-ray Fluoroscopic Images 有权
标题翻译：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。

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