公开(公告)号：US20130132054A1

公开(公告)日：2013-05-23

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

CPC分类号： G06F19/12 ,  G06F19/00 ,  G06F19/321 ,  G16H50/30 ,  G16H50/50

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.

摘要翻译： 公开了一种用于冠状循环多尺度解剖和功能建模的方法和系统。 冠状动脉和心脏的患者特异性解剖模型由患者的医学图像数据产生。 基于患者特异性解剖模型产生冠状动脉循环的多尺度功能模型。 使用冠状动脉循环的多尺度功能模型在至少一个冠状动脉的至少一个狭窄区域中模拟血流量。 计算血流动力学量，例如分数流量储备（FFR），以确定狭窄的功能评估，并使用冠状动脉循环的多尺度函数模型进行虚拟干预模拟，以进行决策支持和干预计划。

公开(公告)号：US20140024932A1

公开(公告)日：2014-01-23

申请号：US13937313

申请日：2013-07-09

申请人： Puneet Sharma ,  Xudong Zheng ,  Ali Kamen ,  Lucian Mihai Itu ,  Bogdan Georgescu ,  Dorin Comaniciu ,  Thomas Redel ,  Saikiran Rapaka ,  Viorel Mihalef

发明人： Puneet Sharma ,  Xudong Zheng ,  Ali Kamen ,  Lucian Mihai Itu ,  Bogdan Georgescu ,  Dorin Comaniciu ,  Thomas Redel ,  Saikiran Rapaka ,  Viorel Mihalef ,  Jan Boese

IPC分类号： A61B6/00

CPC分类号： A61B5/7278 ,  A61B5/02007 ,  A61B5/02028 ,  A61B5/021 ,  A61B5/026 ,  A61B6/481 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5217 ,  A61B2019/524 ,  A61B2560/0475 ,  G06F19/00 ,  G16H50/50

摘要： Methods for computing hemodynamic quantities include: (a) acquiring angiography data from a patient; (b) calculating a flow and/or calculating a change in pressure in a blood vessel of the patient based on the angiography data; and (c) computing the hemodynamic quantity based on the flow and/or the change in pressure. Systems for computing hemodynamic quantities and computer readable storage media are described.

摘要翻译： 用于计算血液动力学量的方法包括：（a）从患者获取血管造影数据; （b）基于血管造影数据计算流量和/或计算患者血管中的压力变化; 和（c）基于流量和/或压力变化来计算血流动力学量。 描述了用于计算血液动力学量的系统和计算机可读存储介质。

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：US20140058715A1

公开(公告)日：2014-02-27

申请号：US14070810

申请日：2013-11-04

申请人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

发明人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

IPC分类号： G06F19/00

CPC分类号： G16B5/00 ,  A61B5/02007 ,  A61B5/1128 ,  A61B6/032 ,  A61B6/503 ,  A61B6/5217 ,  A61B2576/023 ,  G16H50/50

摘要： A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

摘要翻译： 公开了冠状动脉狭窄非侵入性评估的方法和系统。 从休息状态下获得的患者的医学图像数据中提取冠状动脉的患者特异性解剖学测量。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 使用冠状动脉循环模型和患者特异性充血边界条件模拟冠状动脉至少一个狭窄区域的血流量和压力。 基于模拟的充血血流量和压力计算至少一个狭窄区域的分数流量储备（FFR）。

公开(公告)号：US20130246034A1

公开(公告)日：2013-09-19

申请号：US13794113

申请日：2013-03-11

申请人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

发明人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

IPC分类号： G06F19/12

CPC分类号： G16B5/00 ,  A61B5/02007 ,  A61B5/1128 ,  A61B6/032 ,  A61B6/503 ,  A61B6/5217 ,  A61B2576/023 ,  G16H50/50

摘要： A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

摘要翻译： 公开了冠状动脉狭窄非侵入性评估的方法和系统。 从休息状态下获得的患者的医学图像数据中提取冠状动脉的患者特异性解剖学测量。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 使用冠状动脉循环模型和患者特异性充血边界条件模拟冠状动脉至少一个狭窄区域的血流量和压力。 基于模拟的充血血流量和压力计算至少一个狭窄区域的分数流量储备（FFR）。

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。

公开(公告)号：US20130197884A1

公开(公告)日：2013-08-01

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

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。

公开(公告)号：US10297341B2

公开(公告)日：2019-05-21

申请号：US14025039

申请日：2013-09-12

申请人： Lucian Mihai Itu ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

发明人： Lucian Mihai Itu ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

IPC分类号： G06F19/00 ,  A61B34/10 ,  G16H50/50 ,  G06T7/12 ,  A61B5/026 ,  A61B6/00 ,  A61B5/00 ,  G16B5/00

摘要： A method for modeling a blood vessel includes: (a) modeling a first segment of the blood vessel based on medical imaging data acquired from a subject; (b) computing a first modeling parameter at an interior point of the first segment; and (c) computing a second modeling parameter at a boundary point of the first segment using a viscoelastic wall model. Systems for modeling a blood vessel are described.

公开(公告)号：US20140088935A1

公开(公告)日：2014-03-27

申请号：US14025039

申请日：2013-09-12

申请人： Lucian Mihai Itu ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

发明人： Lucian Mihai Itu ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

IPC分类号： G06F19/12

CPC分类号： G06F19/12 ,  G06F19/00 ,  G16H50/50

摘要： A method for modeling a blood vessel includes: (a) modeling a first segment of the blood vessel based on medical imaging data acquired from a subject; (b) computing a first modeling parameter at an interior point of the first segment; and (c) computing a second modeling parameter at a boundary point of the first segment using a viscoelastic wall model. Systems for modeling a blood vessel are described

摘要翻译： 一种用于对血管建模的方法包括：（a）基于从受试者获得的医学成像数据对血管的第一段进行建模; （b）计算第一段的内部点处的第一建模参数; 和（c）使用粘弹性壁模型在第一段的边界点处计算第二建模参数。 描述了对血管建模的系统

公开(公告)号：US09462952B2

公开(公告)日：2016-10-11

申请号：US14455500

申请日：2014-08-08

申请人： Dorin Comaniciu ,  Bogdan Georgescu ,  Ali Kamen ,  Tommaso Mansi ,  Viorel Mihalef

发明人： Dorin Comaniciu ,  Bogdan Georgescu ,  Ali Kamen ,  Tommaso Mansi ,  Viorel Mihalef

IPC分类号： A61B5/02 ,  A61B5/026 ,  A61B8/04 ,  A61B5/00 ,  A61B8/08 ,  A61B6/03 ,  A61B6/00 ,  A61B5/029 ,  A61B5/021 ,  A61B8/06 ,  G06T7/00 ,  A61B5/055

CPC分类号： A61B5/02007 ,  A61B5/0037 ,  A61B5/0044 ,  A61B5/02125 ,  A61B5/0263 ,  A61B5/029 ,  A61B5/055 ,  A61B6/503 ,  A61B6/5217 ,  A61B8/065 ,  G06T7/0016 ,  G06T7/11 ,  G06T2207/30101 ,  G06T2207/30104

摘要： A method and system for estimating arterial compliance and resistance based on medical image data and pressure measurements is disclosed. An arterial inflow estimate over a plurality of time points is determined based on medical image data of a patient. An arterial pressure measurement of the patient is received. At least one cardiac cycle of the arterial pressure measurement is synchronized with at least one cardiac cycle of the arterial inflow measurement. Arterial compliance and resistance of the patient is estimated based on the arterial inflow estimate and the synchronized arterial pressure measurement.

摘要翻译： 公开了一种基于医学图像数据和压力测量来估计动脉顺应性和阻力的方法和系统。 基于患者的医学图像数据确定多个时间点的动脉流入估计。 接受患者的动脉压测量。 动脉压测量的至少一个心动周期与动脉流入测量的至少一个心动周期同步。 基于动脉血流量估计和同步动脉压测量来估计患者的动脉顺应性和抵抗力。