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。

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。

公开(公告)号：US20120022843A1

公开(公告)日：2012-01-26

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： G06G7/60 ,  G06G7/57

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。

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。

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。

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。

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。

公开(公告)号：US08527251B2

公开(公告)日：2013-09-03

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： G06G7/58

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： 公开了一种用于生成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。

公开(公告)号：US08224640B2

公开(公告)日：2012-07-17

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： G06F19/00 ,  G06F17/10 ,  G06G7/58 ,  G06K9/00

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。

公开(公告)号：US09824302B2

公开(公告)日：2017-11-21

申请号：US13412869

申请日：2012-03-06

申请人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Yang Wang ,  Bogdan Georgescu ,  Tommaso Mansi ,  Dorin Comaniciu ,  Yefeng Zheng ,  Shaohua Kevin Zhou ,  Matthias John ,  Jan Boese

发明人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Yang Wang ,  Bogdan Georgescu ,  Tommaso Mansi ,  Dorin Comaniciu ,  Yefeng Zheng ,  Shaohua Kevin Zhou ,  Matthias John ,  Jan Boese

IPC分类号： G06K9/00 ,  G06K9/62

CPC分类号： G06K9/6289 ,  G06K9/6211

摘要： A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation.