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公开(公告)号：US09687204B2
公开(公告)日：2017-06-27
申请号：US13475048
申请日：2012-05-18
申请人： Peter Mountney , Markus Kaiser , Ingmar Voigt , Matthias John , Razvan Ioan Ionasec , Jan Boese , Dorin Comaniciu
发明人： Peter Mountney , Markus Kaiser , Ingmar Voigt , Matthias John , Razvan Ioan Ionasec , Jan Boese , Dorin Comaniciu
CPC分类号： A61B6/12 , A61B6/4417 , A61B6/4441 , A61B6/487 , A61B6/503 , A61B6/5247 , A61B8/0841 , A61B8/0883 , A61B8/12 , A61B8/4245 , A61B8/4416 , A61B8/5261
摘要： A method and system for registering ultrasound images and physiological models to x-ray fluoroscopy images is disclosed. A fluoroscopic image and an ultrasound image, such as a Transesophageal Echocardiography (TEE) image, are received. A 2D location of an ultrasound probe is detected in the fluoroscopic image. A 3D pose of the ultrasound probe is estimated based on the detected 2D location of the ultrasound probe in the fluoroscopic image. The ultrasound image is mapped to a 3D coordinate system of a fluoroscopic image acquisition device used to acquire the fluoroscopic image based on the estimated 3D pose of the ultrasound probe. The ultrasound image can then be projected into the fluoroscopic image using a projection matrix associated with the fluoroscopic image. A patient specific physiological model can be detected in the ultrasound image and projected into the fluoroscopic image.
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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。
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3.发明申请Method and System for Medical Decision Support Using Organ Models and Learning Based Discriminative Distance Functions 有权使用器官模型和学习型判别距离函数进行医学决策支持的方法与系统公开(公告)号：US20110191283A1
公开(公告)日：2011-08-04
申请号：US13016259
申请日：2011-01-28
申请人： Ingmar Voigt , Dime Vitanovski , Razvan Ioan Ionasec , Alexey Tsymbal , Bogdan Georgescu , Shaohua Kevin Zhou , Martin Huber , Dorin Comaniciu
发明人： Ingmar Voigt , Dime Vitanovski , Razvan Ioan Ionasec , Alexey Tsymbal , Bogdan Georgescu , Shaohua Kevin Zhou , Martin Huber , Dorin Comaniciu
摘要： A method and system for providing medical decision support based on virtual organ models and learning based discriminative distance functions is disclosed. A patient-specific virtual organ model is generated from medical image data of a patient. One or more similar organ models to the patient-specific organ model are retrieved from a plurality of previously stored virtual organ models using a learned discriminative distance function. The patient-specific valve model can be classified into a first class or a second class based on the previously stored organ models determined to be similar to the patient-specific organ model.
摘要翻译： 公开了一种基于虚拟器官模型和基于学习的辨别距离函数提供医学决策支持的方法和系统。 从患者的医学图像数据生成患者特异性虚拟器官模型。 使用学习的鉴别距离函数从多个先前存储的虚拟器官模型检索与患者特异器官模型的一个或多个相似的器官模型。 基于先前存储的被确定为类似于患者特异器官模型的器官模型，患者特异性瓣膜模型可以分为第一类或第二类。
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公开(公告)号：US10719986B2
公开(公告)日：2020-07-21
申请号：US12975714
申请日：2010-12-22
申请人： Dominik Zaeuner , Razvan Ioan Ionasec , Bogdan Georgescu , Yefeng Zheng , Dorin Comaniciu , Ingmar Voigt , Jan Boese
发明人： Dominik Zaeuner , Razvan Ioan Ionasec , Bogdan Georgescu , Yefeng Zheng , Dorin Comaniciu , Ingmar Voigt , Jan Boese
摘要： A method and system for virtual percutaneous valve implantation is disclosed. A patient-specific anatomical model of a heart valve is estimated based on 3D cardiac medical image data and an implant model representing a valve implant is virtually deployed into the patient-specific anatomical model of the heart valve. A library of implant models, each modeling geometrical properties of a corresponding valve implant, is maintained. The implant models maintained in the library are virtually deployed into the patient specific anatomical model of the heart valve to select an implant type and size and deployment location and orientation for percutaneous valve implantation.
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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
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。
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6.发明授权Method and system for medical decision support using organ models and learning based discriminative distance functions 有权使用器官模型和基于学习的辨别距离函数进行医学决策支持的方法和系统公开(公告)号：US08812431B2
公开(公告)日：2014-08-19
申请号：US13016259
申请日：2011-01-28
申请人： Ingmar Voigt , Dime Vitanovski , Razvan Ioan Ionasec , Alexey Tsymbal , Bogdan Georgescu , Shaohua Kevin Zhou , Martin Huber , Dorin Comaniciu
发明人： Ingmar Voigt , Dime Vitanovski , Razvan Ioan Ionasec , Alexey Tsymbal , Bogdan Georgescu , Shaohua Kevin Zhou , Martin Huber , Dorin Comaniciu
摘要： A method and system for providing medical decision support based on virtual organ models and learning based discriminative distance functions is disclosed. A patient-specific virtual organ model is generated from medical image data of a patient. One or more similar organ models to the patient-specific organ model are retrieved from a plurality of previously stored virtual organ models using a learned discriminative distance function. The patient-specific valve model can be classified into a first class or a second class based on the previously stored organ models determined to be similar to the patient-specific organ model.
摘要翻译： 公开了一种基于虚拟器官模型和基于学习的辨别距离函数提供医学决策支持的方法和系统。 从患者的医学图像数据生成患者特异性虚拟器官模型。 使用学习的鉴别距离函数从多个先前存储的虚拟器官模型检索与患者特异器官模型的一个或多个相似的器官模型。 基于先前存储的被确定为类似于患者特异器官模型的器官模型，患者特异性瓣膜模型可以分为第一类或第二类。
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7.发明授权公开(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。
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8.发明申请Method and System for Registration of Ultrasound and Physiological Models to X-ray Fluoroscopic Images 有权超声和生理模型注射X射线荧光镜图像的方法和系统公开(公告)号：US20120296202A1
公开(公告)日：2012-11-22
申请号：US13475048
申请日：2012-05-18
申请人： Peter Mountney , Markus Kaiser , Ingmar Voigt , Matthias John , Razvan Ioan Ionasec , Jan Boese , Dorin Comaniciu
发明人： Peter Mountney , Markus Kaiser , Ingmar Voigt , Matthias John , Razvan Ioan Ionasec , Jan Boese , Dorin Comaniciu
CPC分类号： A61B6/12 , A61B6/4417 , A61B6/4441 , A61B6/487 , A61B6/503 , A61B6/5247 , A61B8/0841 , A61B8/0883 , A61B8/12 , A61B8/4245 , A61B8/4416 , A61B8/5261
摘要： A method and system for registering ultrasound images and physiological models to x-ray fluoroscopy images is disclosed. A fluoroscopic image and an ultrasound image, such as a Transesophageal Echocardiography (TEE) image, are received. A 2D location of an ultrasound probe is detected in the fluoroscopic image. A 3D pose of the ultrasound probe is estimated based on the detected 2D location of the ultrasound probe in the fluoroscopic image. The ultrasound image is mapped to a 3D coordinate system of a fluoroscopic image acquisition device used to acquire the fluoroscopic image based on the estimated 3D pose of the ultrasound probe. The ultrasound image can then be projected into the fluoroscopic image using a projection matrix associated with the fluoroscopic image. A patient specific physiological model can be detected in the ultrasound image and projected into the fluoroscopic image.
摘要翻译： 公开了一种用于将超声图像和生理模型记录到X射线透视图像的方法和系统。 接收透视图像和超声图像，如经食道超声心动图（TEE）图像。 在透视图像中检测超声探头的2D位置。 基于在荧光镜图像中检测到的超声波探头的2D位置来估计超声探头的3D姿态。 超声图像被映射到用于根据超声探头的估计3D姿势获取荧光镜图像的荧光镜图像采集装置的3D坐标系。 然后可以使用与透视图像相关联的投影矩阵将超声图像投影到透视图像中。 可以在超声图像中检测患者特异性生理模型并将其投影到透视图像中。
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公开(公告)号：US08920322B2
公开(公告)日：2014-12-30
申请号：US13411711
申请日：2012-03-05
申请人： Tommaso Mansi , Ingmar Voigt , Razvan Ioan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Etienne Assoumou Mengue
发明人： Tommaso Mansi , Ingmar Voigt , Razvan Ioan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Etienne Assoumou Mengue
CPC分类号： A61B8/5238 , A61B6/503 , A61B6/5229 , A61B8/0883 , A61B34/10 , A61B2034/104 , A61F2/24 , G06T19/00 , G06T2210/41 , G16H50/50
摘要： Valve treatment simulation is performed from patient specific imaging data for therapy planning. A model of the valve may be generated from the patient specific data automatically or with very minimal user indication of anatomy locations relative to an image. Any characteristics for the valve not extracted from images of the patient may be added to create a volumetric model. Added characteristics include chordae, such as chordae length and leaflet fiber direction. The characteristics may be adjusted based on user feedback and/or comparison with images of the patient. The effect of therapy on closure of the valve may be simulated from the model. For instance, mitral clip intervention is simulated on the patient-specific model. Valves are deformed according to the clip location. Valve closure is then simulated to predict effect of the therapy in terms of mitral regurgitation.
摘要翻译： 从治疗计划的患者特异性成像数据进行瓣膜治疗模拟。 阀的模型可以从患者特定数据自动生成，或者相对于图像的解剖位置的非常小的用户指示来生成。 可以添加不从患者图像中提取的瓣膜的任何特征以产生体积模型。 增加的特征包括腱索，如腱索长度和小叶纤维方向。 可以基于用户反馈和/或与患者的图像进行比较来调整特征。 可以从模型中模拟治疗对瓣膜闭合的影响。 例如，对患者特异性模型模拟二尖瓣夹持干预。 阀门根据夹子位置变形。 然后模拟瓣膜闭合以预测治疗在二尖瓣反流方面的效果。
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公开(公告)号：US20120232386A1
公开(公告)日：2012-09-13
申请号：US13411711
申请日：2012-03-05
申请人： Tommaso Mansi , Ingmar Voigt , Razvan Ioan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Etienne Assoumou Mengue
发明人： Tommaso Mansi , Ingmar Voigt , Razvan Ioan Ionasec , Bogdan Georgescu , Dorin Comaniciu , Etienne Assoumou Mengue
IPC分类号： A61B8/00
CPC分类号： A61B8/5238 , A61B6/503 , A61B6/5229 , A61B8/0883 , A61B34/10 , A61B2034/104 , A61F2/24 , G06T19/00 , G06T2210/41 , G16H50/50
摘要： Valve treatment simulation is performed from patient specific imaging data for therapy planning. A model of the valve may be generated from the patient specific data automatically or with very minimal user indication of anatomy locations relative to an image. Any characteristics for the valve not extracted from images of the patient may be added to create a volumetric model. Added characteristics include chordae, such as chordae length and leaflet fiber direction. The characteristics may be adjusted based on user feedback and/or comparison with images of the patient. The effect of therapy on closure of the valve may be simulated from the model. For instance, mitral clip intervention is simulated on the patient-specific model. Valves are deformed according to the clip location. Valve closure is then simulated to predict effect of the therapy in terms of mitral regurgitation.
摘要翻译： 从治疗计划的患者特异性成像数据进行瓣膜治疗模拟。 阀的模型可以从患者特定数据自动生成，或者相对于图像的解剖位置的非常小的用户指示来生成。 可以添加不从患者图像中提取的瓣膜的任何特征以产生体积模型。 增加的特征包括腱索，如腱索长度和小叶纤维方向。 可以基于用户反馈和/或与患者的图像进行比较来调整特征。 可以从模型中模拟治疗对瓣膜闭合的影响。 例如，对患者特异性模型模拟二尖瓣夹持干预。 阀门根据夹子位置变形。 然后模拟瓣膜闭合以预测治疗在二尖瓣反流方面的效果。
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