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1. 发明申请

US20100240996A1 VALVE ASSESSMENT FROM MEDICAL DIAGNOSTIC IMAGING DATA 有权
标题翻译：医学诊断成像数据的阀值评估
公开(公告)号：US20100240996A1
公开(公告)日：2010-09-23
申请号：US12702036
申请日：2010-02-08
申请人： Razvan Ioan Ionasec , Ingmar Voigt , Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu , Fernando Vega-Higuera
发明人： Razvan Ioan Ionasec , Ingmar Voigt , Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu , Fernando Vega-Higuera
IPC分类号： A61B8/14 , G06K9/62
CPC分类号： G06T7/0016 , G06T7/251 , G06T7/262 , G06T7/277 , G06T2207/10016 , G06T2207/10076 , G06T2207/10136 , G06T2207/20016 , G06T2207/30048 , G06T2207/30241
摘要： Heart valve operation is assessed with patient-specific medical diagnostic imaging data. To deal with the complex motion of the passive valve tissue, a hierarchal model is used. Rigid global motion of the overall valve, non-rigid local motion of landmarks of the valve, and surface motion of the valve are modeled sequentially. For the non-rigid local motion, a spectral trajectory approach is used in the model to determine location and motion of the landmarks more efficiently than detection and tracking. Given efficiencies in processing, more than one valve may be modeled at a same time. A graphic overlay representing the valve in four dimensions and/or quantities may be provided during an imaging session. One or more of these features may be used in combination or independently.
摘要翻译：心脏瓣膜手术用患者特定的医学诊断成像数据进行评估。为了处理被动瓣膜组织的复杂运动，使用了层次模型。总体阀门的刚性全局运动，阀门的标志的非刚性局部运动以及阀门的表面运动被依次建模。对于非刚性局部运动，在模型中使用频谱轨迹方法，以比检测和跟踪更有效地确定地标的位置和运动。在处理效率方面，可以同时对多个阀进行建模。可以在成像会话期间提供表示四维和/或数量的阀的图形覆盖。这些特征中的一个或多个可以组合使用或独立使用。

2. 发明授权

US08771189B2 Valve assessment from medical diagnostic imaging data 有权
标题翻译：医学诊断成像数据的阀门评估
公开(公告)号：US08771189B2
公开(公告)日：2014-07-08
申请号：US12702036
申请日：2010-02-08
申请人： Razvan Ioan Ionasec , Ingmar Voigt , Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu , Fernando Vega-Higuera
发明人： Razvan Ioan Ionasec , Ingmar Voigt , Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu , Fernando Vega-Higuera
IPC分类号： A61B8/00
CPC分类号： G06T7/0016 , G06T7/251 , G06T7/262 , G06T7/277 , G06T2207/10016 , G06T2207/10076 , G06T2207/10136 , G06T2207/20016 , G06T2207/30048 , G06T2207/30241
摘要： Heart valve operation is assessed with patient-specific medical diagnostic imaging data. To deal with the complex motion of the passive valve tissue, a hierarchal model is used. Rigid global motion of the overall valve, non-rigid local motion of landmarks of the valve, and surface motion of the valve are modeled sequentially. For the non-rigid local motion, a spectral trajectory approach is used in the model to determine location and motion of the landmarks more efficiently than detection and tracking. Given efficiencies in processing, more than one valve may be modeled at a same time. A graphic overlay representing the valve in four dimensions and/or quantities may be provided during an imaging session. One or more of these features may be used in combination or independently.
摘要翻译：心脏瓣膜手术用患者特定的医学诊断成像数据进行评估。为了处理被动瓣膜组织的复杂运动，使用了层次模型。总体阀门的刚性全局运动，阀门的标志的非刚性局部运动以及阀门的表面运动被依次建模。对于非刚性局部运动，在模型中使用频谱轨迹方法，以比检测和跟踪更有效地确定地标的位置和运动。在处理效率方面，可以同时对多个阀进行建模。可以在成像会话期间提供表示四维和/或数量的阀的图形覆盖。这些特征中的一个或多个可以组合使用或独立使用。

3. 发明授权

US09033887B2 Mitral valve detection for transthoracic echocardiography 有权
标题翻译：经胸超声心动图检查二尖瓣
公开(公告)号：US09033887B2
公开(公告)日：2015-05-19
申请号：US13905690
申请日：2013-05-30
申请人： Razvan Ioan Ionasec , Dime Vitanovski , Yang Wang , Bogdan Georgescu , Ingmar Voigt , Saurabh Datta , Dorin Comaniciu
发明人： Razvan Ioan Ionasec , Dime Vitanovski , Yang Wang , Bogdan Georgescu , Ingmar Voigt , Saurabh Datta , Dorin Comaniciu
IPC分类号： A61B8/06 , A61B5/00 , A61B8/08 , A61B8/00 , A61B8/14 , A61B5/107
CPC分类号： A61B8/065 , A61B5/1075 , A61B5/7264 , A61B8/085 , A61B8/14 , A61B8/463 , A61B8/466 , A61B8/483 , A61B8/486 , A61B8/488 , A61B8/5223
摘要： A mitral valve is detected in transthoracic echocardiography. The ultrasound transducer is positioned against the chest of the patient rather than being inserted within the patient. While data acquired from such scanning may be noisier or have less resolution, the mitral valve may still be automatically detected. Using both B-mode data representing tissue as well as flow data representing the regurgitant jet, the mitral valve may be detected automatically with a machine-learnt classifier. A series of classifiers may be used, such as determining a position and orientation of a valve region with one classifier, determining a regurgitant orifice with another classifier, and locating mitral valve anatomy with a third classifier. One or more features for some of the classifiers may be calculated based on the orientation of the valve region.
摘要翻译：经胸超声心动图检测二尖瓣。超声换能器位于患者胸部的位置，而不是插入患者体内。虽然从这种扫描获取的数据可能噪声较大或分辨率较低，但仍可能自动检测二尖瓣。使用表示组织的B模式数据以及表示反流喷射的流动数据，可以用机器学习的分类器自动检测二尖瓣。可以使用一系列分类器，例如用一个分类器确定瓣膜区域的位置和取向，使用另一分类器确定反流孔，以及用第三分类器定位二尖瓣解剖。可以基于阀区域的取向来计算一些分类器的一个或多个特征。

4. 发明授权

US08682626B2 Method and system for comprehensive patient-specific modeling of the heart 有权
标题翻译：心脏综合患者特异性建模的方法和系统
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。

5. 发明申请

US20140052001A1 Mitral Valve Detection for Transthoracic Echocardiography 有权
标题翻译：二尖瓣检查胸腔超声心动图
公开(公告)号：US20140052001A1
公开(公告)日：2014-02-20
申请号：US13905690
申请日：2013-05-30
申请人： Razvan Ioan Ionasec , Dime Vitanovski , Yang Wang , Bogdan Georgescu , Ingmar Voigt , Saurabh Datta , Dorin Comaniciu
发明人： Razvan Ioan Ionasec , Dime Vitanovski , Yang Wang , Bogdan Georgescu , Ingmar Voigt , Saurabh Datta , Dorin Comaniciu
IPC分类号： A61B8/06 , A61B5/00 , A61B8/08 , A61B8/00 , A61B8/14
CPC分类号： A61B8/065 , A61B5/1075 , A61B5/7264 , A61B8/085 , A61B8/14 , A61B8/463 , A61B8/466 , A61B8/483 , A61B8/486 , A61B8/488 , A61B8/5223
摘要： A mitral valve is detected in transthoracic echocardiography. The ultrasound transducer is positioned against the chest of the patient rather than being inserted within the patient. While data acquired from such scanning may be noisier or have less resolution, the mitral valve may still be automatically detected. Using both B-mode data representing tissue as well as flow data representing the regurgitant jet, the mitral valve may be detected automatically with a machine-learnt classifier. A series of classifiers may be used, such as determining a position and orientation of a valve region with one classifier, determining a regurgitant orifice with another classifier, and locating mitral valve anatomy with a third classifier. One or more features for some of the classifiers may be calculated based on the orientation of the valve region.
摘要翻译：经胸超声心动图检测二尖瓣。超声换能器位于患者胸部的位置，而不是插入患者体内。虽然从这种扫描获取的数据可能噪声较大或分辨率较低，但仍可能自动检测二尖瓣。使用表示组织的B模式数据以及表示反流喷射的流动数据，可以用机器学习的分类器自动检测二尖瓣。可以使用一系列分类器，例如用一个分类器确定瓣膜区域的位置和取向，使用另一分类器确定反流孔，以及用第三分类器定位二尖瓣解剖。可以基于阀区域的取向来计算一些分类器的一个或多个特征。

6. 发明申请

US20120022843A1 Method and System for Comprehensive Patient-Specific Modeling of the Heart 有权
标题翻译：心脏综合患者特异性建模方法与系统
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。

7. 发明授权

US09824302B2 Method and system for model-based fusion of multi-modal volumetric images 有权
公开(公告)号：US09824302B2
公开(公告)日：2017-11-21
申请号：US13412869
申请日：2012-03-06
申请人： Sasa Grbic , Razvan Ioan Ionasec , Yang Wang , Bogdan Georgescu , Tommaso Mansi , Dorin Comaniciu , Yefeng Zheng , Shaohua Kevin Zhou , Matthias John , Jan Boese
发明人： Sasa Grbic , Razvan Ioan Ionasec , Yang Wang , Bogdan Georgescu , Tommaso Mansi , Dorin Comaniciu , Yefeng Zheng , Shaohua Kevin Zhou , Matthias John , Jan Boese
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6289 , G06K9/6211
摘要： A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation.

8. 发明申请

US20120230568A1 Method and System for Model-Based Fusion of Multi-Modal Volumetric Images 有权
标题翻译：多模态体积图像模型融合的方法与系统
公开(公告)号：US20120230568A1
公开(公告)日：2012-09-13
申请号：US13412869
申请日：2012-03-06
申请人： Sasa Grbic , Razvan Ioan Ionasec , Yang Wang , Bogdan Georgescu , Tommaso Mansi , Dorin Comaniciu , Yefeng Zheng , Shaohua Kevin Zhou , Matthias John , Jan Boese
发明人： Sasa Grbic , Razvan Ioan Ionasec , Yang Wang , Bogdan Georgescu , Tommaso Mansi , Dorin Comaniciu , Yefeng Zheng , Shaohua Kevin Zhou , Matthias John , Jan Boese
IPC分类号： G06K9/36
CPC分类号： G06K9/6289 , G06K9/6211
摘要： A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation.
摘要翻译：公开了一种用于融合多模体积图像的方法和系统。接收使用第一成像模式获取的第一图像。接收使用第二成像模态获取的第二图像。从第一和第二图像共同估计模型和目标解剖结构和变换。该模型表示第一图像中目标解剖结构的模型，并且变换将第二图像中的目标解剖结构的模型投影到第一图像中的模型。可以基于估计的变换来融合第一和第二图像。

9. 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.

10. 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。

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