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    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis
    1.
    发明申请
    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis 审中-公开
    冠状动脉狭窄无创功能评估方法与系统

    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）。

    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis
    2.
    发明申请
    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis 审中-公开
    冠状动脉狭窄无创功能评估方法与系统

    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）。

    VISCOELASTIC MODELING OF BLOOD VESSELS
    4.
    发明申请
    VISCOELASTIC MODELING OF BLOOD VESSELS 审中-公开
    血液容器的粘弹性建模

    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

    Method and System for Multi-Scale Anatomical and Functional Modeling of Coronary Circulation
    6.
    发明申请
    Method and System for Multi-Scale Anatomical and Functional Modeling of Coronary Circulation 审中-公开
    冠状动脉循环多尺度解剖与功能建模方法与系统

    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。

    Method and System for Hemodynamic Assessment of Aortic Coarctation from Medical Image Data
    8.
    发明申请
    Method and System for Hemodynamic Assessment of Aortic Coarctation from Medical Image Data 有权
    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。

    Method and system for hemodynamic assessment of aortic coarctation from medical image data
    9.
    发明授权
    Method and system for hemodynamic assessment of aortic coarctation from medical image data 有权
    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。