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1. 发明申请

US20130279780A1 Method and System for Model Based Fusion on Pre-Operative Computed Tomography and Intra-Operative Fluoroscopy Using Transesophageal Echocardiography 有权
标题翻译：使用经食管超声心动图进行手术前计算机断层扫描和手术内荧光检查的基于模型融合的方法和系统
公开(公告)号：US20130279780A1
公开(公告)日：2013-10-24
申请号：US13741610
申请日：2013-01-15
申请人： Sasa Grbic , Peter Mountney , Razvan Ioan Ionasec , Matthias John , Dorin Comaniciu
发明人： Sasa Grbic , Peter Mountney , Razvan Ioan Ionasec , Matthias John , Jan Boese , Dorin Comaniciu
IPC分类号： A61B5/00
CPC分类号： A61B5/0033 , A61B6/12 , A61B6/487 , A61B6/5247 , A61B6/5264 , A61B8/0883 , A61B8/12 , A61B8/4245 , A61B8/466 , A61B8/483 , A61B8/5261 , A61B8/5276 , G06T5/50 , G06T7/38 , G06T7/73 , G06T2207/10016 , G06T2207/10081 , G06T2207/10121 , G06T2207/10132 , G06T2207/20072 , G06T2207/20076 , G06T2207/20081 , G06T2207/20221
摘要： A method and system for model-based fusion of pre-operative image data and intra-operative fluoroscopic images is disclosed. A fluoroscopic image and an ultrasound image are received. The ultrasound image is mapped to a 3D coordinate system of a fluoroscopic image acquisition device used to acquire the fluoroscopic image. Contours of an anatomical structure are detected in the ultrasound image, and a transformation is calculated between the ultrasound image and a pre-operative CT image based on the contours and a patient-specific physiological model extracted from the pre-operative CT image. A final mapping is determined between the CT image and the fluoroscopic image based on the transformation between the ultrasound image and physiological model and the mapping of the ultrasound image to the 3D coordinate system of the fluoroscopic image acquisition device. The CT image or the physiological model can then be projected into the fluoroscopic image.
摘要翻译：公开了一种用于术前图像数据和术中荧光透视图像的基于模型融合的方法和系统。接收透视图像和超声图像。超声图像被映射到用于获取透视图像的透视图像获取装置的3D坐标系。在超声图像中检测解剖结构的轮廓，并且基于轮廓和从手术前CT图像提取的患者特异性生理模型，计算超声图像和手术前CT图像之间的变换。基于超声图像和生理模型之间的变换以及超声图像与透视图像采集装置的3D坐标系的映射，在CT图像和荧光透视图像之间确定最终映射。然后将CT图像或生理模型投影到透视图像中。

2. 发明授权

US09681856B2 Image fusion for interventional guidance 有权
公开(公告)号：US09681856B2
公开(公告)日：2017-06-20
申请号：US14970189
申请日：2015-12-15
申请人： Peter Mountney , Sasa Grbic , Razvan Ioan Ionasec , Matthias John , Dorin Comaniciu
发明人： Peter Mountney , Sasa Grbic , Razvan Ioan Ionasec , Matthias John , Dorin Comaniciu
IPC分类号： G06K9/00 , A61B8/08 , G06K9/52 , G06T3/00 , G06K9/62 , A61B6/00 , A61B6/12 , A61B8/12 , G06T5/50 , G06T7/00 , A61B5/00 , A61B6/03
CPC分类号： A61B8/5261 , A61B5/0035 , A61B6/032 , A61B6/12 , A61B6/4441 , A61B6/487 , A61B6/503 , A61B6/5235 , A61B6/5247 , A61B6/582 , A61B8/0883 , A61B8/12 , A61B8/5223 , G06K9/52 , G06K9/6267 , G06T3/0056 , G06T5/50 , G06T7/33 , G06T7/35 , G06T7/77 , G06T2207/10121 , G06T2207/10132 , G06T2207/20076 , G06T2207/20081 , G06T2207/20221 , G06T2207/30048 , G06T2207/30056 , G06T2207/30101
摘要： A method for real-time fusion of a 2D cardiac ultrasound image with a 2D cardiac fluoroscopic image includes acquiring real time synchronized US and fluoroscopic images, detecting a surface contour of an aortic valve in the 2D cardiac ultrasound (US) image relative to an US probe, detecting a pose of the US probe in the 2D cardiac fluoroscopic image, and using pose parameters of the US probe to transform the surface contour of the aortic valve from the 2D cardiac US image to the 2D cardiac fluoroscopic image.

3. 发明申请

US20130259341A1 IMAGE FUSION FOR INTERVENTIONAL GUIDANCE 有权
标题翻译：图像融合用于传统指导
公开(公告)号：US20130259341A1
公开(公告)日：2013-10-03
申请号：US13775374
申请日：2013-02-25
申请人： Peter Mountney , Sasa Grbic , Razvan Ioan Ionasec , Matthias John , Dorin Comaniciu
发明人： Peter Mountney , Sasa Grbic , Razvan Ioan Ionasec , Matthias John , Jan Boese , Dorin Comaniciu
IPC分类号： A61B5/00
CPC分类号： A61B5/0035 , A61B6/032 , A61B6/12 , A61B6/4441 , A61B6/487 , A61B6/503 , A61B6/5235 , A61B6/5247 , A61B6/582 , A61B8/0883 , A61B8/12 , A61B8/5261 , G06T5/50 , G06T7/77 , G06T2207/10121 , G06T2207/10132 , G06T2207/20081 , G06T2207/20221 , G06T2207/30048
摘要： A method for real-time fusion of a 2D cardiac ultrasound image with a 2D cardiac fluoroscopic image includes acquiring real time synchronized US and fluoroscopic images, detecting a surface contour of an aortic valve in the 2D cardiac ultrasound (US) image relative to an US probe, detecting a pose of the US probe in the 2D cardiac fluoroscopic image, and using pose parameters of the US probe to transform the surface contour of the aortic valve from the 2D cardiac US image to the 2D cardiac fluoroscopic image.
摘要翻译：用于2D心脏超声图像与2D心脏荧光镜图像的实时融合的方法包括获取实时同步的美国和透视图像，检测2D心脏超声（US）图像中的主动脉瓣相对于美国的表面轮廓探测器，检测在2D心脏荧光透视图像中的美国探测器的姿态，以及使用美国探头的姿态参数将主动脉瓣的表面轮廓从2D心脏美国图像变换到2D心脏透视图像。

4. 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.

5. 发明申请

US20130294667A1 Method and System for Pericardium Based Model Fusion of Pre-operative and Intra-operative Image Data for Cardiac Interventions 有权
标题翻译：心包干预术前和术中图像数据心包模型融合方法与系统
公开(公告)号：US20130294667A1
公开(公告)日：2013-11-07
申请号：US13765712
申请日：2013-02-13
申请人： Yefeng Zheng , Razvan Ioan Ionasec , Sasa Grbic , Matthias John , Dorin Comaniciu
发明人： Yefeng Zheng , Razvan Ioan Ionasec , Sasa Grbic , Matthias John , Jan Boese , Dorin Comaniciu
IPC分类号： G06T7/00
CPC分类号： G06T7/00 , A61B6/12 , A61B6/4441 , A61B6/503 , A61B6/5235 , G06F19/00 , G06K9/6247 , G06T7/0012 , G06T7/30 , G06T2207/10081 , G06T2207/30048 , G06T2207/30101
摘要： A method and system for model based fusion pre-operative image data, such as computed tomography (CT), and intra-operative C-arm CT is disclosed. A first pericardium model is segmented in the pre-operative image data and a second pericardium model is segmented in a C-arm CT volume. A deformation field is estimated between the first pericardium model and the second pericardium model. A model of a target cardiac structure, such as a heart chamber model or an aorta model, extracted from the pre-operative image data is fused with the C-arm CT volume based on the estimated deformation field between the first pericardium model and the second pericardium model. An intelligent weighted average may be used improve the model based fusion results using models of the target cardiac structure extracted from pre-operative image data of patients other than a current patient.
摘要翻译：公开了一种用于基于模型的融合术前图像数据的方法和系统，例如计算机断层摄影（CT）和手术中C臂CT。在手术前图像数据中分割第一心包模型，并在C臂CT体积中分割第二心包模型。在第一心包模型和第二心包模型之间估计变形场。基于估计的第一心包模型与第二心包模型之间的变形场，将从手术前图像数据提取的目标心脏结构（例如心室模型或主动脉模型）的模型与C臂CT体积融合心包模型。可以使用智能加权平均值，使用从当前患者以外的患者的术前图像数据提取的目标心脏结构模型来改进基于模型的融合结果。

6. 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。

7. 发明申请

US20130129174A1 Method and System for Model-Based Fusion of Computed Tomography and Non-Contrasted C-Arm Computed Tomography 有权
标题翻译：计算机断层扫描和非对比C臂计算机断层扫描的基于模型融合的方法和系统
公开(公告)号：US20130129174A1
公开(公告)日：2013-05-23
申请号：US13683224
申请日：2012-11-21
申请人： Sasa Grbic , Razvan Ioan Ionasec , Matthias John , Jan Boese , Christian Gesell , Dorin Comaniciu
发明人： Sasa Grbic , Razvan Ioan Ionasec , Matthias John , Jan Boese , Christian Gesell , Dorin Comaniciu
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/344 , G06T2200/04 , G06T2207/10081 , G06T2207/10121 , G06T2207/20081 , G06T2207/20221 , G06T2207/30048 , G06T2207/30061 , G06T2207/30101
摘要： A method and system for model-based fusion of multi-modal volumetric images is disclosed. A first patient-specific model of an anchor anatomical structure is detected in a first medical image acquired using a first imaging modality, and a second patient-specific model of the anchor anatomical structure is detected in a second medical image acquired using a second imaging modality. A weighted mapping function is determined based on the first patient-specific model of the anchor anatomical structure and the second patient-specific model of the anchor anatomical structure using learned weights to minimize mapping error with respect to a target anatomical structure. The target anatomical structure from the first medical image to the second medical image using the weighted mapping function. In an application of this model-based fusion to transcatheter valve therapies, the trachea bifurcation is used as the anchor anatomical structure and the aortic valve is the target anatomical structure.
摘要翻译：公开了一种用于多模态体积图像的基于模型融合的方法和系统。在使用第一成像模态获取的第一医疗图像中检测锚固解剖结构的第一患者特定模型，并且在使用第二成像模态获取的第二医疗图像中检测锚固解剖结构的第二患者特定模型。基于锚解剖结构的第一患者特定模型和使用学习权重的锚定解剖结构的第二患者特定模型来确定加权映射函数，以使关于目标解剖结构的映射误差最小化。使用加权映射函数从第一医学图像到第二医学图像的目标解剖结构。在这种基于模型的融合对经导管瓣膜治疗的应用中，气管分叉用作锚固解剖结构，主动脉瓣是目标解剖结构。

8. 发明授权

US09730609B2 Method and system for aortic valve calcification evaluation 有权
公开(公告)号：US09730609B2
公开(公告)日：2017-08-15
申请号：US13713603
申请日：2012-12-13
申请人： Sasa Grbic , Razvan Ioan Ionasec , Fernando Vega-Higuera , Dominik Bernhardt , Dorin Comaniciu
发明人： Sasa Grbic , Razvan Ioan Ionasec , Fernando Vega-Higuera , Dominik Bernhardt , Dorin Comaniciu
IPC分类号： A61B5/055 , G06T17/00 , G06T7/11 , G06T7/149 , G06T7/162
CPC分类号： A61B5/055 , G06T7/11 , G06T7/149 , G06T7/162 , G06T17/00 , G06T2207/20081 , G06T2207/20156 , G06T2207/30048 , G06T2207/30101
摘要： A method and system for automatic aortic valve calcification evaluation is disclosed. A patient-specific aortic valve model in a 3D medical image volume, such as a 3D computed tomography (CT) volume. Calcifications in a region of the 3D medical image volume defined based on the aortic valve model. A 2D calcification plot is generated that shows locations of the segmented calcifications relative to aortic valve leaflets of the patient-specific aortic valve model. The 2D calcification plot can be used for assessing the suitability of a patient for a Transcatheter Aortic Valve Replacement (TAVI) procedure, as well as risk assessment, positioning of an aortic valve implant, and selection of a type of aortic valve implant.

9. 发明申请

US20130035596A1 MODEL-BASED POSITIONING FOR INTRACARDIAC ECHOCARDIOGRAPHY VOLUME STITCHING 有权
标题翻译：基于模型的定位用于腹腔内胆管造影
公开(公告)号：US20130035596A1
公开(公告)日：2013-02-07
申请号：US13546066
申请日：2012-07-11
申请人： Razvan Ioan Ionasec , Sasa Grbic , Estelle Camus , Dorin Comaniciu
发明人： Razvan Ioan Ionasec , Sasa Grbic , Estelle Camus , Dorin Comaniciu
IPC分类号： A61B8/12
CPC分类号： A61B8/12 , A61B8/0883 , A61B8/483 , G06T3/4038 , G06T7/0014 , G06T7/344 , G06T2207/10136 , G06T2207/20064 , G06T2207/20076 , G06T2207/20081 , G06T2207/30048
摘要： Different intracardiac echocardiography volumes are stitched together. Different volumes of a patient are scanned with ICE. To stitch the volumes together, creating a larger volume, the volumes are spatially aligned. The alignment is based on feature, surface, or both feature and surface matching of the ICE volumes with a preoperative model of the same patient. The matching with the model indicates a relative position of the ICE volumes with each other. Using machine-trained classifiers may speed performance, allowing for real-time assembling of a volume from ICE data as the catheter is moved within the patient.
摘要翻译：不同的心内超声心动图体积缝合在一起。用不同体积的病人用ICE扫描。要将卷拼接在一起，创建更大的卷，卷在空间上对齐。对齐是基于ICE体积与同一患者的术前模型的特征，表面或两者特征和表面匹配。与模型的匹配表明ICE体积彼此相对的位置。使用机器训练的分类器可以提高性能，允许在导管在患者体内移动时从ICE数据实时组装体积。

10. 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。

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