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：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：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：US09119540B2

公开(公告)日：2015-09-01

申请号：US13226779

申请日：2011-09-07

申请人： Puneet Sharma ,  Bogdan Georgescu ,  Viorel Mihalef ,  Terrence Chen ,  Dorin Comaniciu

发明人： Puneet Sharma ,  Bogdan Georgescu ,  Viorel Mihalef ,  Terrence Chen ,  Dorin Comaniciu

IPC分类号： A61B5/026 ,  G06T7/00 ,  G06F19/00

CPC分类号： A61B5/026 ,  A61B2576/023 ,  G06F19/321 ,  G06F19/3468 ,  G06T7/0016 ,  G06T2207/10081 ,  G06T2207/10096 ,  G06T2207/10116 ,  G06T2207/30048 ,  G06T2207/30104 ,  G16H20/17 ,  G16H30/20 ,  G16H30/40 ,  G16H50/50

摘要： In order to assess coronary artery disease from medical image data, an anatomical model of a coronary artery is generated from the medical image data. A velocity of blood in the coronary artery is estimated based on a spatio-temporal representation of contrast agent propagation in the medical image data. Blood flow is simulated in the anatomical model of the coronary artery using a computational fluid dynamics (CFD) simulation using the estimated velocity of the blood in the coronary artery as a boundary condition.

摘要翻译： 为了从医学图像数据中评估冠状动脉疾病，从医学图像数据生成冠状动脉的解剖模型。 基于医学图像数据中的造影剂传播的时空表示来估计冠状动脉中的血液速度。 使用计算流体动力学（CFD）模拟，使用冠状动脉中血液的估计速度作为边界条件，在冠状动脉的解剖模型中模拟血流。

公开(公告)号：US10162932B2

公开(公告)日：2018-12-25

申请号：US13672781

申请日：2012-11-09

申请人： Puneet Sharma ,  Lucian Mihai Itu ,  Bogdan Georgescu ,  Viorel Mihalef ,  Ali Kamen ,  Dorin Comaniciu

发明人： Puneet Sharma ,  Lucian Mihai Itu ,  Bogdan Georgescu ,  Viorel Mihalef ,  Ali Kamen ,  Dorin Comaniciu

IPC分类号： G06F19/12 ,  G16H50/50 ,  G06F19/00 ,  G16H50/30

摘要： A method and system for multi-scale anatomical and functional modeling of coronary circulation is disclosed. A patient-specific anatomical model of coronary arteries and the heart is generated from medical image data of a patient. A multi-scale functional model of coronary circulation is generated based on the patient-specific anatomical model. Blood flow is simulated in at least one stenosis region of at least one coronary artery using the multi-scale function model of coronary circulation. Hemodynamic quantities, such as fractional flow reserve (FFR), are computed to determine a functional assessment of the stenosis, and virtual intervention simulations are performed using the multi-scale function model of coronary circulation for decision support and intervention planning.

公开(公告)号：US20130144573A1

公开(公告)日：2013-06-06

申请号：US13311989

申请日：2011-12-06

申请人： Puneet Sharma ,  Viorel Mihalef ,  Razvan Loan Lonasec ,  Bogdan Georgescu ,  Dorin Comaniciu

发明人： Puneet Sharma ,  Viorel Mihalef ,  Razvan Loan Lonasec ,  Bogdan Georgescu ,  Dorin Comaniciu

IPC分类号： G06G7/60 ,  G06F17/10

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：US20120203530A1

公开(公告)日：2012-08-09

申请号：US13366677

申请日：2012-02-06

申请人： Puneet Sharma ,  Tommaso Mansi ,  Viorel Mihalef ,  Jingdan Zhang ,  David Liu ,  Shaohua Kevin Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu

发明人： Puneet Sharma ,  Tommaso Mansi ,  Viorel Mihalef ,  Jingdan Zhang ,  David Liu ,  Shaohua Kevin Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu

IPC分类号： G06G7/60

CPC分类号： G06F19/3437 ,  G06F19/00 ,  G16H50/50

摘要： A method and system for patient-specific computational modeling and simulation for coupled hemodynamic analysis of cerebral vessels is disclosed. An anatomical model of a cerebral vessel is extracted from 3D medical image data. The anatomical model of the cerebral vessel includes an inner wall and an outer wall of the cerebral vessel. Blood flow in the cerebral vessel and deformation of the cerebral vessel wall are simulated using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations based on the anatomical model of the cerebral vessel.

摘要翻译： 公开了一种用于脑血管耦合血流动力学分析的患者特异性计算建模和模拟方法和系统。 从3D医学图像数据中提取脑血管的解剖模型。 脑血管的解剖模型包括脑血管的内壁和外壁。 基于脑血管解剖模型，使用耦合计算流体动力学（CFD）和计算固体力学（CSM）模拟模拟脑血管中的血流和脑血管壁的变形。

公开(公告)号：US09129053B2

公开(公告)日：2015-09-08

申请号：US13757517

申请日：2013-02-01

申请人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

发明人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

IPC分类号： G06F19/00 ,  G06T19/00

CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06T19/00 ,  G06T2210/41 ,  G16H50/50

摘要： Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

摘要翻译： 用于从医学图像和数据计算先进心脏测量的方法和系统; 并且公开了使用患者特定的多物理流体 - 固体心脏模型的治疗计划。 从医学图像患者数据生成左心室和右心室的患者特异性解剖模型。 基于左心室和右心室的患者特异性解剖模型和患者特异性临床数据生成患者特异性计算心脏模型。 计算模型包括生物力学，电生理学和血液动力学。 为了产生患者特异性计算心脏模型，电生理模型的初始患者特异性参数，生物力学模型的初始患者特异性参数和初始患者特异性计算流体动力学（CFD）边界条件被轻微估计。 使用初始患者特异性参数进行耦合的流体结构相互作用（FSI）模拟，并且基于耦合的FSI模拟来改进初始的患者特异性参数。 估计的模型参数然后构成可用于决策的新的高级测量。