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31. 发明申请

US20090154785A1 Method and system for dynamic pulmonary trunk modeling in computed tomography and magnetic resonance imaging 有权
标题翻译：计算机断层扫描和磁共振成像中动态肺动脉造影的方法和系统
公开(公告)号：US20090154785A1
公开(公告)日：2009-06-18
申请号：US12315343
申请日：2008-12-01
申请人： Michael Lynch , Razvan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Dime Vitanovski
发明人： Michael Lynch , Razvan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Dime Vitanovski
IPC分类号： G06T7/00
CPC分类号： G06T7/38 , G06T7/33 , G06T2207/10076 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048
摘要： A method and system for modeling the pulmonary trunk in 4D image data, such as 4D CT and MRI data, is disclosed. Bounding boxes are detected in frames of the 4D image data. Anatomic landmarks are detected in the frames of the 4D image data based on the bounding boxes. Ribs or centerlines of the pulmonary artery are detected in the frames of the 4D image data based on the anatomic landmarks, and a physiological pulmonary trunk model is fit the frames of the 4D image data based on the detected ribs and anatomic landmarks. The boundary of the pulmonary trunk is detected in order to refine the boundary of the pulmonary trunk model in the frames of the 4D image data, resulting in a dynamic model of the pulmonary trunk. The pulmonary trunk can be quantitatively evaluated using the dynamic model.
摘要翻译：公开了4D图像数据（如4D CT和MRI数据）对肺动脉干线进行建模的方法和系统。在4D图像数据的帧中检测边界框。基于边界框在4D图像数据的帧中检测解剖标志。基于解剖标志，在4D图像数据的帧中检测肺动脉的肋或中心线，并且基于检测到的肋和解剖标志，生理性肺动脉干模型适合4D图像数据的帧。检测肺动脉干的边界，以便在4D图像数据的帧中改善肺动脉干模型的边界，得到肺动脉的动态模型。可以使用动态模型定量评估肺动脉干。

32. 发明授权

US10321892B2 Computerized characterization of cardiac motion in medical diagnostic ultrasound 有权
公开(公告)号：US10321892B2
公开(公告)日：2019-06-18
申请号：US13234697
申请日：2011-09-16
申请人： Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu
发明人： Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu
IPC分类号： A61B8/00 , A61B8/08 , G06T7/246
摘要： Computerized characterization of cardiac wall motion is provided. Quantities for cardiac wall motion are determined from a four-dimensional (i.e., 3D+time) sequence of ultrasound data. A processor automatically processes the volume data to locate the cardiac wall through the sequence and calculate the quantity from the cardiac wall position or motion. Various machine learning is used for locating and tracking the cardiac wall, such as using a motion prior learned from training data for initially locating the cardiac wall and the motion prior, speckle tracking, boundary detection, and mass conservation cues for tracking with another machine learned classifier. Where the sequence extends over multiple cycles, the cycles are automatically divided for independent tracking of the cardiac wall. The cardiac wall from one cycle may be used to propagate to another cycle for initializing the tracking. Independent tracking in each cycle may reduce or avoid inaccuracies due to drift.

33. 发明申请

US20120078097A1 COMPUTERIZED CHARACTERIZATION OF CARDIAC MOTION IN MEDICAL DIAGNOSTIC ULTRASOUND 审中-公开
标题翻译：医学诊断超声心脏运动的计算机表征
公开(公告)号：US20120078097A1
公开(公告)日：2012-03-29
申请号：US13234697
申请日：2011-09-16
申请人： Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu
发明人： Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu
IPC分类号： A61B8/08
CPC分类号： A61B8/483 , A61B8/00 , A61B8/0883 , G06T7/251 , G06T2207/10136 , G06T2207/30048
摘要： Computerized characterization of cardiac wall motion is provided. Quantities for cardiac wall motion are determined from a four-dimensional (i.e., 3D+time) sequence of ultrasound data. A processor automatically processes the volume data to locate the cardiac wall through the sequence and calculate the quantity from the cardiac wall position or motion. Various machine learning is used for locating and tracking the cardiac wall, such as using a motion prior learned from training data for initially locating the cardiac wall and the motion prior, speckle tracking, boundary detection, and mass conservation cues for tracking with another machine learned classifier. Where the sequence extends over multiple cycles, the cycles are automatically divided for independent tracking of the cardiac wall. The cardiac wall from one cycle may be used to propagate to another cycle for initializing the tracking. Independent tracking in each cycle may reduce or avoid inaccuracies due to drift.
摘要翻译：提供了心脏壁运动的计算机化特征。用于心脏壁运动的量由超声数据的四维（即3D +时间）序列确定。处理器自动处理体积数据以通过序列定位心脏壁，并从心脏壁位置或运动计算量。使用各种机器学习来定位和跟踪心脏壁，例如使用从训练数据学习的运动，用于初始定位心脏壁和运动，斑点跟踪，边界检测和用于跟踪另一机器学习的质量保护线索分类器当序列延伸多个周期时，循环被自动划分为心脏壁的独立跟踪。来自一个周期的心脏壁可用于传播到另一周期以初始化跟踪。每个循环中的独立跟踪可能会减少或避免由于漂移引起的不准确。

34. 发明申请

US20130144161A1 Flow Quantification in Ultrasound Using Conditional Random Fields with Global Consistency 有权
标题翻译：使用具有全局一致性的条件随机场的超声流量化
公开(公告)号：US20130144161A1
公开(公告)日：2013-06-06
申请号：US13682272
申请日：2012-11-20
申请人： Yang Wang , Bogdan Georgescu , Saurabh Datta
发明人： Yang Wang , Bogdan Georgescu , Saurabh Datta
IPC分类号： A61B8/06
CPC分类号： A61B8/065 , A61B8/0883 , A61B8/483 , A61B8/488 , A61B8/5269 , G01S15/8981
摘要： Velocities are unaliased using conditional random fields. To constrain the energy minimization function, a global term includes a measure of a level of aliasing. In one example, the measure of the level of aliasing is based on a change in volume, such as the volume of the left ventricle. The unaliasing is performed along one or more surfaces, such as surfaces intersecting the mitral annulus and the left ventricle outflow tract. The anatomy used is identified and/or tracked using one or more machine-learnt detectors. Both B-mode and velocity information may be used for detecting the anatomy.
摘要翻译：速度是使用条件随机字段来进行的。为了约束能量最小化函数，一个全局术语包括一个混叠级别的度量。在一个示例中，混叠级别的度量取决于体积的变化，例如左心室的体积。沿着一个或多个表面（例如与二尖瓣环和左心室流出道相交的表面）进行排列。使用的解剖结构使用一个或多个机器学习的检测器来识别和/或跟踪。 B模式和速度信息都可用于检测解剖结构。

35. 发明授权

US09033883B2 Flow quantification in ultrasound using conditional random fields with global consistency 有权
标题翻译：超声波流量定量使用具有全局一致性的条件随机场
公开(公告)号：US09033883B2
公开(公告)日：2015-05-19
申请号：US13682272
申请日：2012-11-20
申请人： Yang Wang , Bogdan Georgescu , Saurabh Datta
发明人： Yang Wang , Bogdan Georgescu , Saurabh Datta
IPC分类号： A61B8/00 , A61B8/06 , A61B8/08 , G01S15/89
CPC分类号： A61B8/065 , A61B8/0883 , A61B8/483 , A61B8/488 , A61B8/5269 , G01S15/8981
摘要： Velocities are unaliased using conditional random fields. To constrain the energy minimization function, a global term includes a measure of a level of aliasing. In one example, the measure of the level of aliasing is based on a change in volume, such as the volume of the left ventricle. The unaliasing is performed along one or more surfaces, such as surfaces intersecting the mitral annulus and the left ventricle outflow tract. The anatomy used is identified and/or tracked using one or more machine-learnt detectors. Both B-mode and velocity information may be used for detecting the anatomy.
摘要翻译：速度是使用条件随机字段来进行的。为了约束能量最小化函数，一个全局术语包括一个混叠级别的度量。在一个示例中，混叠级别的度量取决于体积的变化，例如左心室的体积。沿着一个或多个表面（例如与二尖瓣环和左心室流出道相交的表面）进行排列。使用的解剖结构使用一个或多个机器学习的检测器来识别和/或跟踪。 B模式和速度信息都可用于检测解剖结构。

36. 发明授权

US10325686B2 System and methods for integrated and predictive analysis of molecular, imaging, and clinical data for patient-specific management of diseases 有权
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.

37. 发明授权

US09129053B2 Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model 有权
标题翻译：使用多物理流体 - 固体心脏模型的医学数据和图像进行高级测量计算和治疗计划的方法和系统
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。

38. 发明授权

US08948484B2 Method and system for automatic view planning for cardiac magnetic resonance imaging acquisition 有权
标题翻译：心脏磁共振成像采集自动视图规划方法与系统
公开(公告)号：US08948484B2
公开(公告)日：2015-02-03
申请号：US13293239
申请日：2011-11-10
申请人： Xiaoguang Lu , Jens Guehring , Marie-Pierre Jolly , Bogdan Georgescu , Carmel Hayes , Peter Speier , Michaela Schmidt , Xiaoming Bi , Randall Kroeker , Dorin Comaniciu , Edgar Mueller
发明人： Xiaoguang Lu , Jens Guehring , Marie-Pierre Jolly , Bogdan Georgescu , Carmel Hayes , Peter Speier , Michaela Schmidt , Xiaoming Bi , Randall Kroeker , Dorin Comaniciu , Edgar Mueller
IPC分类号： G06K9/00 , G06K9/68 , G06K9/62
CPC分类号： G06K9/6857 , G06K9/6282
摘要： A method and system for automated view planning for cardiac magnetic resonance imaging (MRI) acquisition is disclosed. The method and system automatically generate a full scan prescription using a single 3D MRI volume. The left ventricle (LV) is segmented in the 3D MRI volume. Cardiac landmarks are detected in the automatically prescribed slices. A full scan prescription, including a short axis stack and 2-chamber, 3-chamber, and 4-chamber views, is automatically generated based on cardiac anchors provided by the segmented left ventricle and the detected cardiac landmarks in the 3D MRI volume.
摘要翻译：公开了用于心脏磁共振成像（MRI）采集的自动视图规划的方法和系统。该方法和系统使用单个3D MRI体积自动生成全扫描处方。左心室（LV）在3D MRI体积中分段。在自动规定的切片中检测到心脏地标。基于由分割的左心室提供的心脏锚定点和3D MRI体积中检测到的心脏地标，自动生成全扫描处方，包括短轴堆叠和2室，3室和4室视图。

39. 发明申请

US20140024932A1 Computation of Hemodynamic Quantities From Angiographic Data 有权
标题翻译：血管造影数据计算血流动力学数据
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。

40. 发明申请

US20140022250A1 System and Method for Patient Specific Planning and Guidance of Ablative Procedures for Cardiac Arrhythmias 有权
标题翻译：患者特定规划的系统和方法以及心律失常消融手术的指导
公开(公告)号：US20140022250A1
公开(公告)日：2014-01-23
申请号：US13946661
申请日：2013-07-19
申请人： Tommaso Mansi , Olivier Ecabert , Saikiran Rapaka , Bogdan Georgescu , Ali Kamen , Dorin Comaniciu
发明人： Tommaso Mansi , Olivier Ecabert , Saikiran Rapaka , Bogdan Georgescu , Ali Kamen , Dorin Comaniciu
IPC分类号： A61B19/00 , G06T19/20
CPC分类号： A61B34/10 , A61B5/042 , A61B18/02 , A61B18/1492 , A61B2018/00357 , A61B2018/00577 , A61B2018/00839 , A61B2034/104 , A61B2034/105 , A61B2034/107 , A61B2090/364 , A61B2090/3764 , A61N1/362 , A61N1/39 , A61N7/022 , G06T7/12 , G06T7/149 , G06T19/20 , G06T2207/10072 , G06T2207/20081 , G06T2207/20124 , G06T2207/30048 , G16H50/50
摘要： A method and system for patient-specific planning and guidance of an ablation procedure for cardiac arrhythmia is disclosed. A patient-specific anatomical heart model is generated based on pre-operative cardiac image data. The patient-specific anatomical heart model is registered to a coordinate system of intra-operative images acquired during the ablation procedure. One or more ablation site guidance maps are generated based on the registered patient-specific anatomical heart model and intra-operative patient-specific measurements acquired during the ablation procedure. The ablation site guidance maps may include myocardium diffusion and action potential duration maps. The ablation site guidance maps are generated using a computational model of cardiac electrophysiology which is personalized by fitting parameters of the cardiac electrophysiology model using the intra-operative patient-specific measurements. The ablation site guidance maps are displayed by a display device during the ablation procedure.
摘要翻译：公开了一种用于患者特异性规划和指导心律失常消融手术的方法和系统。基于手术前心脏图像数据生成患者特异性解剖心脏模型。将患者特异性解剖心脏模型记录到在消融过程期间获取的手术中图像的坐标系。基于注册的患者特异性解剖心脏模型和在消融过程期间获得的术中患者特异性测量来生成一个或多个消融部位引导图。消融部位引导图可以包括心肌扩散和动作电位持续时间图。使用心脏电生理学的计算模型产生消融部位指导图，其通过使用手术中患者特异性测量来拟合心脏电生理学模型的参数进行个性化。在消融过程中，消融部位引导图由显示装置显示。

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