公开(公告)号：US10311978B2

公开(公告)日：2019-06-04

申请号：US13754174

申请日：2013-01-30

申请人： Tommaso Mansi ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Dorin Comaniciu

发明人： Tommaso Mansi ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Dorin Comaniciu

IPC分类号： G06F17/50 ,  A61B5/055 ,  A61N1/362 ,  A61N1/365 ,  G06F19/00 ,  G06T17/00 ,  G09B23/30 ,  G16H50/50 ,  A61B5/00 ,  A61B8/08

CPC分类号： G06F17/5009 ,  A61B5/0044 ,  A61B5/055 ,  A61B8/0883 ,  A61B2576/023 ,  A61N1/3627 ,  A61N1/36514 ,  A61N1/36585 ,  G06T17/00 ,  G06T2210/41 ,  G09B23/30 ,  G16H50/50

摘要： A method and system for patient-specific planning of cardiac therapy, such as cardiac resynchronization therapy (CRT), based on preoperative clinical data and medical images, such as ECG data, magnetic resonance imaging (MRI) data, and ultrasound data, is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image data of a patient. A patient-specific computational heart model, which comprises cardiac electrophysiology, biomechanics and hemodynamics, is generated based on the patient-specific anatomical model of the left and right ventricles and clinical data. Simulations of cardiac therapies, such as CRT at one or more anatomical locations are performed using the patient-specific computational heart model. Changes in clinical cardiac parameters are then computed from the patient-specific model, constituting predictors of therapy outcome useful for therapy planning and optimization.

公开(公告)号：US09375195B2

公开(公告)日：2016-06-28

申请号：US13905939

申请日：2013-05-30

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

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

IPC分类号： G06K9/00 ,  A61B8/08 ,  A61B8/13 ,  A61B10/02 ,  A61B5/00 ,  G06T7/00 ,  A61B5/05 ,  A61B5/055 ,  A61B8/14 ,  A61B8/00

CPC分类号： A61B8/0841 ,  A61B5/055 ,  A61B5/7425 ,  A61B8/13 ,  A61B8/14 ,  A61B8/4254 ,  A61B8/463 ,  A61B8/483 ,  A61B8/485 ,  A61B8/5261 ,  A61B10/0233 ,  A61B10/0241 ,  G06T7/33 ,  G06T2207/10136 ,  G06T2207/30081

摘要： A method and system for real-time ultrasound guided prostate needle biopsy based on a biomechanical model of the prostate from 3D planning image data, such as magnetic resonance imaging (MRI) data, is disclosed. The prostate is segmented in the 3D ultrasound image. A reference patient-specific biomechanical model of the prostate extracted from planning image data is fused to a boundary of the segmented prostate in the 3D ultrasound image, resulting in a fused 3D biomechanical prostate model. In response to movement of an ultrasound probe to a new location, a current 2D ultrasound image is received. The fused 3D biomechanical prostate model is deformed based on the current 2D ultrasound image to match a current deformation of the prostate due to the movement of the ultrasound probe to the new location.

摘要翻译： 公开了一种基于3D规划图像数据（如磁共振成像（MRI））数据的前列腺生物力学模型的实时超声引导前列腺穿刺活检的方法和系统。 前列腺在3D超声图像中被分割。 从计划图像数据中提取的前列腺特异性参考生物力学模型融合到3D超声图像中分割的前列腺的边界，产生融合的3D生物力学前列腺模型。 响应于超声探头移动到新位置，接收当前的2D超声图像。 融合的3D生物力学前列腺模型基于当前的2D超声图像而变形，以匹配由于超声探头移动到新位置而导致的前列腺的当前变形。

公开(公告)号：US20130197881A1

公开(公告)日：2013-08-01

申请号：US13754174

申请日：2013-01-30

申请人： Tommaso Mansi ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Dorin Comaniciu

发明人： Tommaso Mansi ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Dorin Comaniciu

IPC分类号： G06F17/50

CPC分类号： G06F17/5009 ,  A61B5/0044 ,  A61B5/055 ,  A61B8/0883 ,  A61B2576/023 ,  A61N1/3627 ,  A61N1/36514 ,  A61N1/36585 ,  G06T17/00 ,  G06T2210/41 ,  G09B23/30 ,  G16H50/50

摘要： A method and system for patient-specific planning of cardiac therapy, such as cardiac resynchronization therapy (CRT), based on preoperative clinical data and medical images, such as ECG data, magnetic resonance imaging (MRI) data, and ultrasound data, is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image data of a patient. A patient-specific computational heart model, which comprises cardiac electrophysiology, biomechanics and hemodynamics, is generated based on the patient-specific anatomical model of the left and right ventricles and clinical data. Simulations of cardiac therapies, such as CRT at one or more anatomical locations are performed using the patient-specific computational heart model. Changes in clinical cardiac parameters are then computed from the patient-specific model, constituting predictors of therapy outcome useful for therapy planning and optimization.

摘要翻译： 公开了基于术前临床数据和医学图像（例如ECG数据，磁共振成像（MRI）数据和超声数据）的心脏治疗的患者特异性规划的方法和系统，例如心脏再同步治疗（CRT） 。 从患者的医学图像数据产生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临床数据生成包括心脏电生理学，生物力学和血液动力学的患者特异性计算心脏模型。 使用患者特异性计算心脏模型进行心脏治疗的模拟，例如在一个或多个解剖位置处的CRT。 然后从患者特异性模型计算临床心脏参数的变化，构成对治疗计划和优化有用的治疗结果的预测因子。

公开(公告)号：US10325686B2

公开(公告)日：2019-06-18

申请号：US13928430

申请日：2013-06-27

申请人： Tommaso Mansi ,  Wei Keat Lim ,  Vanessa King ,  Andreas Kremer ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Andreas Keller ,  Cord Friedrich Staehler ,  Emil Wirsz ,  Dorin Comaniciu

发明人： Tommaso Mansi ,  Wei Keat Lim ,  Vanessa King ,  Andreas Kremer ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Andreas Keller ,  Cord Friedrich Staehler ,  Emil Wirsz ,  Dorin Comaniciu

IPC分类号： G16H50/50 ,  G16B5/00

摘要： A system operating in a plurality of modes to provide an integrated analysis of molecular data, imaging data, and clinical data associated with a patient includes a multi-scale model, a molecular model, and a linking component. The multi-scale model is configured to generate one or more estimated multi-scale parameters based on the clinical data and the imaging data when the system operates in a first mode, and generate a model of organ functionality based on one or more inferred multi-scale parameters when the system operates in a second mode. The molecular model is configured to generate one or more first molecular findings based on a molecular network analysis of the molecular data, wherein the molecular model is constrained by the estimated parameters when the system operates in the first mode. The linking component, which is operably coupled to the multi-scale model and the molecular model, is configured to transfer the estimated multi-scale parameters from the multi-scale model to the molecular model when the system operates in the first mode, and generate, using a machine learning process, the inferred multi-scale parameters based on the molecular findings when the system operates in the second mode.

公开(公告)号：US20130324841A1

公开(公告)日：2013-12-05

申请号：US13905939

申请日：2013-05-30

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

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

IPC分类号： A61B8/08 ,  A61B10/02 ,  A61B5/055 ,  A61B8/13

CPC分类号： A61B8/0841 ,  A61B5/055 ,  A61B5/7425 ,  A61B8/13 ,  A61B8/14 ,  A61B8/4254 ,  A61B8/463 ,  A61B8/483 ,  A61B8/485 ,  A61B8/5261 ,  A61B10/0233 ,  A61B10/0241 ,  G06T7/33 ,  G06T2207/10136 ,  G06T2207/30081

摘要： A method and system for real-time ultrasound guided prostate needle biopsy based on a biomechanical model of the prostate from 3D planning image data, such as magnetic resonance imaging (MRI) data, is disclosed. The prostate is segmented in the 3D ultrasound image. A reference patient-specific biomechanical model of the prostate extracted from planning image data is fused to a boundary of the segmented prostate in the 3D ultrasound image, resulting in a fused 3D biomechanical prostate model. In response to movement of an ultrasound probe to a new location, a current 2D ultrasound image is received. The fused 3D biomechanical prostate model is deformed based on the current 2D ultrasound image to match a current deformation of the prostate due to the movement of the ultrasound probe to the new location.

摘要翻译： 公开了一种基于3D规划图像数据（如磁共振成像（MRI））数据的前列腺生物力学模型的实时超声引导前列腺穿刺活检的方法和系统。 前列腺在3D超声图像中被分割。 从计划图像数据中提取的前列腺特异性参考生物力学模型融合到3D超声图像中分割的前列腺的边界，产生融合的3D生物力学前列腺模型。 响应于超声探头移动到新位置，接收当前的2D超声图像。 融合的3D生物力学前列腺模型基于当前的2D超声图像而变形，以匹配由于超声探头移动到新位置而导致的前列腺的当前变形。

公开(公告)号：US20140012558A1

公开(公告)日：2014-01-09

申请号：US13928430

申请日：2013-06-27

申请人： Tommaso Mansi ,  Wei Keat Lim ,  Vanessa King ,  Andreas Kremer ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Andreas Keller ,  Cord Friedrich Staehler ,  Emil Wirsz ,  Dorin Comaniciu

发明人： Tommaso Mansi ,  Wei Keat Lim ,  Vanessa King ,  Andreas Kremer ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Andreas Keller ,  Cord Friedrich Staehler ,  Emil Wirsz ,  Dorin Comaniciu

IPC分类号： G06F19/00

CPC分类号： G16H50/50 ,  G06F19/12

摘要： A system operating in a plurality of modes to provide an integrated analysis of molecular data, imaging data, and clinical data associated with a patient includes a multi-scale model, a molecular model, and a linking component. The multi-scale model is configured to generate one or more estimated multi-scale parameters based on the clinical data and the imaging data when the system operates in a first mode, and generate a model of organ functionality based on one or more inferred multi-scale parameters when the system operates in a second mode. The molecular model is configured to generate one or more first molecular findings based on a molecular network analysis of the molecular data, wherein the molecular model is constrained by the estimated parameters when the system operates in the first mode. The linking component, which is operably coupled to the multi-scale model and the molecular model, is configured to transfer the estimated multi-scale parameters from the multi-scale model to the molecular model when the system operates in the first mode, and generate, using a machine learning process, the inferred multi-scale parameters based on the molecular findings when the system operates in the second mode.

摘要翻译： 以多种模式操作以提供与患者相关联的分子数据，成像数据和临床数据的集成分析的系统包括多尺度模型，分子模型和连接部件。 多尺度模型被配置为当系统以第一模式操作时，基于临床数据和成像数据生成一个或多个估计的多尺度参数，并且基于一个或多个推断的多尺度模型生成器官功能模型， 系统在第二模式下运行时的缩放参数。 分子模型被配置为基于分子数据的分子网络分析产生一个或多个第一分子发现，其中当系统以第一模式操作时，分子模型受到估计参数约束。 可操作地耦合到多尺度模型和分子模型的连接部件被配置为当系统在第一模式下操作时将估计的多尺度参数从多尺度模型传递到分子模型，并且生成 ，使用机器学习过程，当系统在第二模式下操作时，基于分子发现的推断的多尺度参数。

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：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）。