公开(公告)号：US20140058715A1

公开(公告)日：2014-02-27

申请号：US14070810

申请日：2013-11-04

申请人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

发明人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

IPC分类号： G06F19/00

CPC分类号： G16B5/00 ,  A61B5/02007 ,  A61B5/1128 ,  A61B6/032 ,  A61B6/503 ,  A61B6/5217 ,  A61B2576/023 ,  G16H50/50

摘要： A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

摘要翻译： 公开了冠状动脉狭窄非侵入性评估的方法和系统。 从休息状态下获得的患者的医学图像数据中提取冠状动脉的患者特异性解剖学测量。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 使用冠状动脉循环模型和患者特异性充血边界条件模拟冠状动脉至少一个狭窄区域的血流量和压力。 基于模拟的充血血流量和压力计算至少一个狭窄区域的分数流量储备（FFR）。

公开(公告)号：US20130246034A1

公开(公告)日：2013-09-19

申请号：US13794113

申请日：2013-03-11

申请人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

发明人： Puneet Sharma ,  Lucian Mihai Itu ,  Ali Kamen ,  Bogdan Georgescu ,  Xudong Zheng ,  Huseyin Tek ,  Dorin Comaniciu ,  Dominik Bernhardt ,  Fernando Vega-Higuera ,  Michael Scheuering

IPC分类号： G06F19/12

CPC分类号： G16B5/00 ,  A61B5/02007 ,  A61B5/1128 ,  A61B6/032 ,  A61B6/503 ,  A61B6/5217 ,  A61B2576/023 ,  G16H50/50

摘要： A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

摘要翻译： 公开了冠状动脉狭窄非侵入性评估的方法和系统。 从休息状态下获得的患者的医学图像数据中提取冠状动脉的患者特异性解剖学测量。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量，计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 使用冠状动脉循环模型和患者特异性充血边界条件模拟冠状动脉至少一个狭窄区域的血流量和压力。 基于模拟的充血血流量和压力计算至少一个狭窄区域的分数流量储备（FFR）。

公开(公告)号：US08831320B2

公开(公告)日：2014-09-09

申请号：US13293172

申请日：2011-11-10

申请人： Dominik Bernhardt ,  Michael Scheuering ,  Fernando Vega-Higuera

发明人： Dominik Bernhardt ,  Michael Scheuering ,  Fernando Vega-Higuera

IPC分类号： G06K9/00 ,  A61B6/03 ,  G06T7/00 ,  A61B6/00

CPC分类号： G06F19/12 ,  A61B6/03 ,  A61B6/032 ,  A61B6/481 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  G06F17/18 ,  G06F19/00 ,  G06T7/0012 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2207/30104 ,  G16H50/50

摘要： A device is disclosed for determining and visualizing the perfusion of the myocardial muscle with the aid of static CCTA images. In at least one embodiment, the device includes a segmentation unit for segmenting the coronary blood vessels and the left myocardial muscle from a CCTA image of the heart; a first simulation unit for simulating the blood flow through the coronary blood vessels; and a second simulation unit by which the local perfusion of the myocardial muscle is determined on the basis of the ascertained blood flow into different regions of the myocardial muscle. The perfusion of the different regions of the myocardial muscle is visualized in a schematized image on a visualization unit. By virtue of the proposed device it is possible to dispense with further imaging examinations after the performance of a CCTA scan, thereby relieving the pressure both on the part of the physician and on the part of the patient.

摘要翻译： 公开了一种借助于静态CCTA图像来确定和可视化心肌肌灌注的装置。 在至少一个实施例中，该装置包括用于从心脏的CCTA图像分割冠状动脉血管和左心肌的分割单元; 用于模拟通过冠状血管的血流的第一模拟单元; 以及第二模拟单元，通过该第二模拟单元，基于确定的进入心肌的不同区域的血液流量来确定心肌的局部灌注。 在可视化单元上的示意图像中可视化心肌的不同区域的灌注。 凭借所提出的装置，可以在执行CCTA扫描之后免除进一步的成像检查，从而减轻了医师和患者部分的压力。

公开(公告)号：US20120121151A1

公开(公告)日：2012-05-17

申请号：US13293172

申请日：2011-11-10

申请人： Dominik Bernhardt ,  Michael Scheuering ,  Fernando Vega-Higuera

发明人： Dominik Bernhardt ,  Michael Scheuering ,  Fernando Vega-Higuera

IPC分类号： G06K9/00

CPC分类号： G06F19/12 ,  A61B6/03 ,  A61B6/032 ,  A61B6/481 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  G06F17/18 ,  G06F19/00 ,  G06T7/0012 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2207/30104 ,  G16H50/50

摘要： A device is disclosed for determining and visualizing the perfusion of the myocardial muscle with the aid of static CCTA images. In at least one embodiment, the device includes a segmentation unit for segmenting the coronary blood vessels and the left myocardial muscle from a CCTA image of the heart; a first simulation unit for simulating the blood flow through the coronary blood vessels; and a second simulation unit by which the local perfusion of the myocardial muscle is determined on the basis of the ascertained blood flow into different regions of the myocardial muscle. The perfusion of the different regions of the myocardial muscle is visualized in a schematized image on a visualization unit. By virtue of the proposed device it is possible to dispense with further imaging examinations after the performance of a CCTA scan, thereby relieving the pressure both on the part of the physician and on the part of the patient.

摘要翻译： 公开了一种借助于静态CCTA图像来确定和可视化心肌肌灌注的装置。 在至少一个实施例中，该装置包括用于从心脏的CCTA图像分割冠状动脉血管和左心肌的分割单元; 用于模拟通过冠状血管的血流的第一模拟单元; 以及第二模拟单元，通过该第二模拟单元，基于确定的进入心肌的不同区域的血液流量来确定心肌的局部灌注。 在可视化单元上的示意图像中可视化心肌的不同区域的灌注。 凭借所提出的装置，可以在执行CCTA扫描之后免除进一步的成像检查，从而减轻了医师和患者部分的压力。

公开(公告)号：US20090123050A1

公开(公告)日：2009-05-14

申请号：US12288215

申请日：2008-10-17

申请人： Razvan Ionasec ,  Bogdan Georgescu ,  Helene C. Houle ,  Sebastian Vogt ,  Michael Scheuering ,  Estelle Camus ,  Dorin Comaniciu

发明人： Razvan Ionasec ,  Bogdan Georgescu ,  Helene C. Houle ,  Sebastian Vogt ,  Michael Scheuering ,  Estelle Camus ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/00 ,  G06K2209/051 ,  G06T7/0016 ,  G06T7/251 ,  G06T17/20 ,  G06T2207/10076 ,  G06T2207/10136 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30048

摘要： A method and system for modeling the aortic valve in 4D image data, such as 4D CT and echocardiography, is disclosed. An initial estimate of a physiological aortic valve model is determined for at least one reference frame of a 4D image sequence based on anatomic features in the reference frame. The initial estimate is refined to generate a final estimate in the reference frame. A dynamic model of the aortic valve is then generated by estimating the physiological aortic valve model for each remaining frame of the 4D image sequence based on the final estimate in the reference frame. The aortic valve can be quantitatively evaluated using the dynamic model.

摘要翻译： 公开了用于4D图像数据建模主动脉瓣的方法和系统，如4D CT和超声心动图。 基于参考系中的解剖特征，为4D图像序列的至少一个参考帧确定生理主动脉瓣模型的初始估计。 改进初始估计以在参考系中产生最终估计。 然后通过基于参考框架中的最终估计估计4D图像序列的每个剩余帧的生理主动脉瓣模型来生成主动脉瓣的动态模型。 主动脉瓣可以使用动态模型进行定量评估。

公开(公告)号：US20090080745A1

公开(公告)日：2009-03-26

申请号：US12228911

申请日：2008-08-18

申请人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06T7/62 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/30048

摘要： A method and system for measuring the volume of the left ventricle (LV) in a 3D medical image, such as a CT, volume is disclosed. Heart chambers are segmented in the CT volume, including at least the LV endocardium and the LV epicardium. An optimal threshold value is automatically determined based on voxel intensities within the LV endocardium and voxel intensities between the LV endocardium and the LV epicardium. Voxels within the LV endocardium are labeled as blood pool voxels or papillary muscle voxels based on the optimal threshold value. The LV volume can be measured excluding the papillary muscles based on the number of blood pool voxels, and the LV volume can be measured including the papillary muscles based on the total number of voxels within the LV endocardium.

摘要翻译： 公开了一种用于测量3D医学图像（例如CT）体积中的左心室（LV）的体积的方法和系统。 心室在CT体积中分段，至少包括LV心内膜和LV心外膜。 基于LV心内膜内的体素强度和LV心内膜与LV心外膜之间的体素强度自动确定最佳阈值。 基于最佳阈值将LV心内膜内的体素标记为血池体素或乳头肌肉体素。 基于血液池体素的数量可以除去乳头肌之外的LV体积，并且可以基于LV心内膜中的体素总数来测量LV体积，包括乳头肌。

公开(公告)号：US08150119B2

公开(公告)日：2012-04-03

申请号：US12319686

申请日：2009-01-09

申请人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06K9/34 ,  G06T15/00

CPC分类号： G06K9/34 ,  G06K2209/051 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/20124 ,  G06T2207/30048

摘要： A method and system for left ventricle (LV) endocardium surface segmentation using constrained optimal mesh smoothing is disclosed. The LV endocardium surface in the 3D cardiac volume is initially segmented in a 3D cardiac volume, such as a CT volume, resulting in an LV endocardium surface mesh. A smoothed LV endocardium surface mesh is generated by smoothing the LV endocardium surface mesh using constrained optimal mesh smoothing. The constrained optimal mesh smoothing determines an optimal adjustment for each point on the LV endocardium surface mesh by minimizing an objective function based at least on a smoothness measure, subject to a constraint bounding the adjustment for each point. The adjustment for each point can be constrained to prevent adjustments inward toward the blood pool in order to ensure that the smoothed LV endocardium surface mesh encloses the entire blood pool.

摘要翻译： 公开了使用约束最优网格平滑的左心室（LV）心内膜表面分割的方法和系统。 3D心脏体积中的LV心内膜表面最初在3D心脏体积（例如CT体积）中分段，导致LV心内膜表面网。 通过使用约束最优网格平滑平滑LV心内膜表面网格来生成平滑的LV心内膜表面网格。 受约束的最优网格平滑通过使至少基于平滑度量度的目标函数最小化来限制LV心内膜表面网格上的每个点的最佳调整，受限于对每个点的调整。 可以限制每个点的调整以防止向血液向内的调节，以确保平滑的LV心内膜表面网格包围整个血液池。

公开(公告)号：US20090304251A1

公开(公告)日：2009-12-10

申请号：US12471761

申请日：2009-05-26

申请人： Yefeng Zheng ,  Bogdan Georgescu ,  Haibin Ling ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Bogdan Georgescu ,  Haibin Ling ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/3233 ,  G06K2209/051 ,  G06T7/75 ,  G06T2207/10081 ,  G06T2207/30004

摘要： A method and apparatus for detecting 3D anatomical objects in medical images using constrained marginal space learning (MSL) is disclosed. A constrained search range is determined for an input medical image volume based on training data. A first trained classifier is used to detect position candidates in the constrained search range. Position-orientation hypotheses are generated from the position candidates using orientation examples in the training data. A second trained classifier is used to detect position-orientation candidates from the position-orientation hypotheses. Similarity transformation hypotheses are generated from the position-orientation candidates based on scale examples in the training data. A third trained classifier is used to detect similarity transformation candidates from the similarity transformation hypotheses, and the similarity transformation candidates define the position, translation, and scale of the 3D anatomic object in the medical image volume.

摘要翻译： 公开了一种使用受限边际空间学习（MSL）检测医学图像中3D解剖学对象的方法和装置。 基于训练数据确定输入医学图像体积的约束搜索范围。 第一训练分类器用于检测约束搜索范围内的位置候选。 使用训练数据中的取向示例从位置候选者生成位置取向假设。 第二训练分类器用于从位置定向假设检测位置方向候选。 基于训练数据中的比例示例，从位置定位候选生成相似度转换假设。 第三训练分类器用于从相似变换假设检测相似变换候选，并且相似变换候选定义医学图像体积中的3D解剖对象的位置，平移和比例。

公开(公告)号：US20080262814A1

公开(公告)日：2008-10-23

申请号：US12082143

申请日：2008-04-09

申请人： Yefeng Zheng ,  Adrian Barbu ,  Bogdan Georgescu ,  Michael Lynch ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Adrian Barbu ,  Bogdan Georgescu ,  Michael Lynch ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06G7/60

CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06F19/34 ,  G06T2207/30048 ,  G16H50/50

摘要： A method and system for building a statistical four-chamber heart model from 3D volumes is disclosed. In order to generate the four-chamber heart model, each chamber is modeled using an open mesh, with holes at the valves. Based on the image data in one or more 3D volumes, meshes are generated and edited for the left ventricle (LV), left atrium (LA), right ventricle (RV), and right atrium (RA). Resampling to enforce point correspondence is performed during mesh editing. Important anatomic landmarks in the heart are explicitly represented in the four-chamber heart model of the present invention.

摘要翻译： 公开了一种用于从3D体积构建统计四室心脏模型的方法和系统。 为了产生四腔心脏模型，每个腔室都使用开放的网格进行建模，在阀门处有孔。 基于一个或多个3D体积中的图像数据，为左心室（LV），左心房（LA），右心室（RV）和右心房（RA）生成并编辑网格。 在网格编辑期间执行重新采样以强制点对应。 在本发明的四腔心脏模型中明确地表示心脏中的重要解剖学标志。

公开(公告)号：US09275190B2

公开(公告)日：2016-03-01

申请号：US12082143

申请日：2008-04-09

申请人： Yefeng Zheng ,  Adrian Barbu ,  Bogdan Georgescu ,  Michael Lynch ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Adrian Barbu ,  Bogdan Georgescu ,  Michael Lynch ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06F19/00

CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06F19/34 ,  G06T2207/30048 ,  G16H50/50

摘要： A method and system for building a statistical four-chamber heart model from 3D volumes is disclosed. In order to generate the four-chamber heart model, each chamber is modeled using an open mesh, with holes at the valves. Based on the image data in one or more 3D volumes, meshes are generated and edited for the left ventricle (LV), left atrium (LA), right ventricle (RV), and right atrium (RA). Resampling to enforce point correspondence is performed during mesh editing. Important anatomic landmarks in the heart are explicitly represented in the four-chamber heart model of the present invention.

摘要翻译： 公开了一种用于从3D体积构建统计四室心脏模型的方法和系统。 为了产生四腔心脏模型，每个腔室都使用开放的网格进行建模，在阀门处有孔。 基于一个或多个3D体积中的图像数据，为左心室（LV），左心房（LA），右心室（RV）和右心房（RA）生成并编辑网格。 在网格编辑期间执行重新采样以强制点对应。 在本发明的四腔心脏模型中明确地表示心脏中的重要解剖学标志。