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公开(公告)号：US10321892B2
公开(公告)日：2019-06-18
申请号：US13234697
申请日：2011-09-16
Applicant: Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu
Inventor： Yang Wang , Bogdan Georgescu , Helene C. Houle , Dorin Comaniciu
Abstract: 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.
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公开(公告)号：US10297341B2
公开(公告)日：2019-05-21
申请号：US14025039
申请日：2013-09-12
Applicant: Lucian Mihai Itu , Puneet Sharma , Ali Kamen , Dorin Comaniciu
Inventor： Lucian Mihai Itu , Puneet Sharma , Ali Kamen , Dorin Comaniciu
Abstract: 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.
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公开(公告)号：US10296809B2
公开(公告)日：2019-05-21
申请号：US13780230
申请日：2013-02-28
Applicant: Saikiran Rapaka , Tommaso Mansi , Bogdan Georgescu , Ali Kamen , Dorin Comaniciu
Inventor： Saikiran Rapaka , Tommaso Mansi , Bogdan Georgescu , Ali Kamen , Dorin Comaniciu
Abstract: A method and system for patient-specific cardiac electrophysiology is disclosed. Particularly, a patient-specific anatomical model of a heart is generated from medical image data of a patient, a level-set representation of the patient-specific anatomical model is generated of the heart on a Cartesian grid; and a transmembrane action potential at each node of the level-set representation of the of the patient-specific anatomical model of the heart is computed on a Cartesian grid.
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84.发明授权公开(公告)号：US09687204B2
公开(公告)日：2017-06-27
申请号：US13475048
申请日：2012-05-18
Applicant: Peter Mountney , Markus Kaiser , Ingmar Voigt , Matthias John , Razvan Ioan Ionasec , Jan Boese , Dorin Comaniciu
Inventor： Peter Mountney , Markus Kaiser , Ingmar Voigt , Matthias John , Razvan Ioan Ionasec , Jan Boese , Dorin Comaniciu
CPC classification number: A61B6/12 , A61B6/4417 , A61B6/4441 , A61B6/487 , A61B6/503 , A61B6/5247 , A61B8/0841 , A61B8/0883 , A61B8/12 , A61B8/4245 , A61B8/4416 , A61B8/5261
Abstract: 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：US09524550B2
公开(公告)日：2016-12-20
申请号：US12774146
申请日：2010-05-05
Applicant: Ying Zhu , Simone Prummer , Peng Wang , Terrence Chen , Martin Ostermeier , Dorin Comaniciu
Inventor： Ying Zhu , Simone Prummer , Peng Wang , Terrence Chen , Martin Ostermeier , Dorin Comaniciu
IPC: G06T7/00
CPC classification number: G06T7/0016 , G06T2207/10121 , G06T2207/20224 , G06T2207/30101
Abstract: A method and system for extracting coronary vessels fluoroscopic image sequences using coronary digital subtraction angiography (DSA) are disclosed. A set of mask images of a coronary region is received, and a sequence of contrast images for the coronary region is received. For each contrast image, a motion estimate is calculated between each of the mask images and a background region of the contrast image and a covariance is calculated for each motion estimate. Multiple background layer predictions are generated by generating a background layer prediction for each mask image based on the calculated motion estimate and covariance. The multiple background layer estimates are combined using statistical fusion to generate a final estimated background layer. The final estimated background layer is subtracted from the contrast image to extract a coronary vessel layer for the contrast image.
Abstract translation: 公开了使用冠状动脉数字减影血管造影（DSA）提取冠脉血管荧光镜图像序列的方法和系统。 接收冠状动脉区域的一组掩模图像，并且接收冠状动脉区域的对比度图像序列。 对于每个对比度图像，在每个掩模图像和对比度图像的背景区域之间计算运动估计，并且针对每个运动估计计算协方差。 通过基于计算的运动估计和协方差为每个掩模图像生成背景层预测来生成多个背景层预测。 使用统计融合来组合多个背景层估计以产生最终估计的背景层。 从对比度图像中减去最终估计的背景层，以提取对比度图像的冠状血管层。
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Patent Agency Ranking
86.发明授权Method and system for integrated radiological and pathological information for diagnosis, therapy selection, and monitoring 有权用于诊断，治疗选择和监测的综合放射学和病理学信息的方法和系统公开(公告)号：US09478022B2
公开(公告)日：2016-10-25
申请号：US14240534
申请日：2012-08-22
Applicant: Ali Kamen , Leo Grady , Gianluca Paladini , Parmeshwar Khurd , Oliver Kutter , Dorin Comaniciu
Inventor： Ali Kamen , Leo Grady , Gianluca Paladini , Parmeshwar Khurd , Oliver Kutter , Dorin Comaniciu
CPC classification number: G06T7/0012 , A61B6/12 , A61B6/463 , A61B6/467 , A61B8/0841 , A61B8/463 , A61B8/465 , A61B8/467 , A61B10/02 , G06F19/00 , G06F19/3481 , G06T2207/30004 , G16H50/20
Abstract: A method and system for integrating radiological and pathological information for cancer diagnosis, therapy selection, and monitoring is disclosed. A radiological image of a patient, such as a magnetic resonance (MR), computed tomography (CT), positron emission tomography (PET), or ultrasound image, is received. A location corresponding to each of one or more biopsy samples is determined in the at least one radiological image. An integrated display is used to display a histological image corresponding to the each biopsy samples, the radiological image, and the location corresponding to each biopsy samples in the radiological image. Pathological information and radiological information are integrated by combining features extracted from the histological images and the features extracted from the corresponding locations in the radiological image for cancer grading, prognosis prediction, and therapy selection.
Abstract translation: 公开了用于整合放射学和病理学信息用于癌症诊断，治疗选择和监测的方法和系统。 接收患者的放射学图像，例如磁共振（MR），计算机断层摄影（CT），正电子发射断层摄影（PET）或超声图像。 在至少一个放射图像中确定与一个或多个活检样本中的每一个对应的位置。 使用集成显示器来显示对应于每个活检样本，放射图像和对应于放射图像中的每个活检样本的位置的组织学图像。 通过组合图像提取的特征和从放射图像中相应位置提取的特征，进行癌症分级，预后预测和治疗选择，整合病理信息和放射学信息。
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87.发明授权公开(公告)号：US09405996B2
公开(公告)日：2016-08-02
申请号：US12562454
申请日：2009-09-18
Applicant: Razvan Ionasec , Bogdan Georgescu , Yefeng Zheng , Dorin Comaniciu
Inventor： Razvan Ionasec , Bogdan Georgescu , Yefeng Zheng , Dorin Comaniciu
CPC classification number: G06K9/6256 , G06F19/00 , G06F19/321 , G06K2209/051 , G06T7/12 , G06T7/149 , G06T13/20 , G06T17/00 , G06T2207/30048 , G06T2210/41 , G16H50/50
Abstract: A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT) or echocardiography image data, of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A patient specific anatomical heart model is generated by integrating the individual models for each of the heart components.
Abstract translation: 公开了一种用于产生患者特异性解剖心脏模型的方法和系统。 接收患者心脏区域的体积图像数据，例如计算机断层扫描（CT）或超声心动图像数据。 用于多个心脏组件的单独模型，例如左心室（LV）心内膜，LV心外膜，右心室（RV），左心房（LA），右心房（RA），二尖瓣，主动脉瓣，主动脉和肺动脉干， 在所述体积心脏图像数据中估计。 患者特异性解剖心脏模型是通过对每个心脏部件的各个模型进行整合来产生的。
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公开(公告)号：US09349197B2
公开(公告)日：2016-05-24
申请号：US13533234
申请日：2012-06-26
Applicant: Mingqing Chen , Yefeng Zheng , Kerstin Mueller , Christopher Rohkohl , Günter Lauritsch , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
Inventor： Mingqing Chen , Yefeng Zheng , Kerstin Mueller , Christopher Rohkohl , Günter Lauritsch , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
CPC classification number: G06T7/251 , G06T11/005 , G06T2207/10081 , G06T2207/30048 , G06T2211/412
Abstract: The left ventricle epicardium is estimated in medical diagnostic imaging. C-arm x-ray data is used to detect an endocardium at different phases. The detected endocardium at the different phases is compared to sample endocardiums at different phases. The sample endocardiums have corresponding sample epicardiums. The transformation between the most similar sample endocardium or endocardiums over time and the detected endocardium over time is applied to the corresponding sample epicardium or epicardiums. The transformed sample epicardium over time is the estimated epicardium over time for the C-arm x-ray data.
Abstract translation: 估计左心室心外膜在医学诊断成像中。 C臂X射线数据用于检测不同阶段的心内膜。 将检测到的不同阶段的心内膜与不同阶段的样品心内膜进行比较。 样品心内膜具有相应的样品心外膜。 随着时间的推移，最相似的样品心内膜或心内膜与随时间的检测到的心内膜之间的转化被应用于相应的样品心外膜或心外膜。 随着时间的推移，转化的样品心外膜随着时间的推移，C-arm x射线数据的估计心外膜。
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89.发明授权公开(公告)号：US09292921B2
公开(公告)日：2016-03-22
申请号：US13413043
申请日：2012-03-06
Applicant: Terrence Chen , Gareth Funka-Lea , Dorin Comaniciu
Inventor： Terrence Chen , Gareth Funka-Lea , Dorin Comaniciu
CPC classification number: G06T7/0016 , G06T2207/10121 , G06T2207/30101
Abstract: A method and system for contrast inflow detection in a sequence of fluoroscopic images is disclosed. Vessel segments are detected in each frame of a fluoroscopic image sequence. A score vector is determined for the fluoroscopic image sequence based on the detected vessel segments in each frame of the fluoroscopic image sequence. It is determined whether a contrast agent injection is present in the fluoroscopic image sequence based on the score vector. If it is determined that a contrast agent injection is present in the fluoroscopic image sequence, a contrast inflow frame, at which contrast agent inflow begins, is detected in the fluoroscopic image sequence based on the score vector.
Abstract translation: 公开了一种荧光镜图像序列中对比度流入检测的方法和系统。 在透视图像序列的每个帧中检测血管段。 基于荧光镜图像序列的每个帧中的检测到的血管片段，确定荧光镜图像序列的得分矢量。 基于得分矢量确定荧光镜图像序列中是否存在造影剂注射。 如果确定在透视图像序列中存在造影剂注射，则基于得分矢量在荧光镜图像序列中检测出造影剂流入开始的对比度流入框。
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公开(公告)号：US09147268B2
公开(公告)日：2015-09-29
申请号：US13533314
申请日：2012-06-26
Applicant: Mingqing Chen , Yefeng Zheng , Kerstin Mueller , Christopher Rohkohl , Günter Lauritsch , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
Inventor： Mingqing Chen , Yefeng Zheng , Kerstin Mueller , Christopher Rohkohl , Günter Lauritsch , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
CPC classification number: G06T7/251 , G06T11/005 , G06T2207/10081 , G06T2207/30048 , G06T2211/412
Abstract: Background information is subtracted from projection data in medical diagnostic imaging. The background is removed using data acquired in a single rotational sweep of a C-arm. The removal may be by masking out a target, leaving the background, in the data as constructed into a volume. For subtraction, the masked background information is projected to a plane and subtracted from the data representing the plane.
Abstract translation: 医疗诊断成像中的投影数据中减去背景信息。 使用在C臂的单次旋转扫描中获取的数据来去除背景。 删除可能是通过将构建成一个卷的数据中的一个目标掩盖掉，留下背景。 对于减法，将掩蔽的背景信息投影到平面，并从表示平面的数据中减去。
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