公开(公告)号：US09761004B2

公开(公告)日：2017-09-12

申请号：US12487223

申请日：2009-06-18

申请人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

发明人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

IPC分类号： A61B6/03 ,  G06T7/00 ,  G06T7/13

CPC分类号： G06T7/13 ,  G06T7/0012 ,  G06T2207/10081 ,  G06T2207/20044 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101

摘要： A method and system for automatic coronary stenosis detection in computed tomography (CT) data is disclosed. Coronary artery centerlines are obtained in an input cardiac CT volume. A trained classifier, such as a probabilistic boosting tree (PBT) classifier, is used to detect stenosis regions along the centerlines in the input cardiac CT volume. The classifier classifies each of the control points that define the coronary artery centerlines as a stenosis point or a non-stenosis point.

公开(公告)号：US08526699B2

公开(公告)日：2013-09-03

申请号：US13040716

申请日：2011-03-04

申请人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu ,  Michael Kelm ,  Alexey Tsymbal ,  Dominik Bernhardt

发明人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu ,  Michael Kelm ,  Alexey Tsymbal ,  Dominik Bernhardt

IPC分类号： G06K9/00 ,  A61B5/05 ,  A61B5/02 ,  A61F2/06

CPC分类号： G06T7/0016 ,  G06T7/143 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/30101 ,  G06T2207/30172

摘要： A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed.

摘要翻译： 公开了一种在3D CT图像数据中提供冠状动脉狭窄检测和分类的方法和系统。 从CT图像数据中提取冠脉血管的中心线。 从血管中心线检测和移除非血管区域。 使用经过训练的回归函数，基于冠状血管中心线估计管腔的横截面面积。 基于估计的管腔横截面积在冠状血管中检测狭窄候选物，并且显着狭窄候选物被自动分类为钙化，非钙化或混合。

公开(公告)号：US20110224542A1

公开(公告)日：2011-09-15

申请号：US13040716

申请日：2011-03-04

申请人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu ,  Michael Kelm ,  Alexey Tsymbal ,  Dominik Bernhardt

发明人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu ,  Michael Kelm ,  Alexey Tsymbal ,  Dominik Bernhardt

IPC分类号： A61B6/03

CPC分类号： G06T7/0016 ,  G06T7/143 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/30101 ,  G06T2207/30172

摘要： A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed.

摘要翻译： 公开了一种在3D CT图像数据中提供冠状动脉狭窄检测和分类的方法和系统。 从CT图像数据中提取冠脉血管的中心线。 从血管中心线检测和移除非血管区域。 使用经过训练的回归函数，基于冠状血管中心线估计管腔的横截面面积。 基于估计的管腔横截面积在冠状血管中检测狭窄候选物，并且显着狭窄候选物被自动分类为钙化，非钙化或混合。

公开(公告)号：US20100076296A1

公开(公告)日：2010-03-25

申请号：US12487223

申请日：2009-06-18

申请人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

发明人： Sushil Mittal ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

IPC分类号： A61B5/05

CPC分类号： G06T7/13 ,  G06T7/0012 ,  G06T2207/10081 ,  G06T2207/20044 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101

摘要： A method and system for automatic coronary stenosis detection in computed tomography (CT) data is disclosed. Coronary artery centerlines are obtained in an input cardiac CT volume. A trained classifier, such as a probabilistic boosting tree (PBT) classifier, is used to detect stenosis regions along the centerlines in the input cardiac CT volume. The classifier classifies each of the control points that define the coronary artery centerlines as a stenosis point or a non-stenosis point.

摘要翻译： 公开了一种计算机断层扫描（CT）数据中自动冠状动脉狭窄检测的方法和系统。 在输入的心脏CT体积中获得冠状动脉中心线。 训练有素的分类器，如概率增强树（PBT）分类器，用于检测输入心脏CT体积中沿着中心线的狭窄区域。 分类器将定义冠状动脉中心线的每个控制点分类为狭窄点或非狭窄点。

公开(公告)号：US20100067760A1

公开(公告)日：2010-03-18

申请号：US12487121

申请日：2009-06-18

申请人： Lei Zhang ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

发明人： Lei Zhang ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/00 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30101

摘要： A method and system for coronary artery detection in 3D cardiac volumes is disclosed. The heart chambers are segmented in the cardiac volume, and an initial estimation of a coronary artery is generated based on the segmented heart chambers. The initial estimation of the coronary artery is then refined based on local information in the cardiac volume in order to detect the coronary artery in the cardiac volume. The detected coronary artery can be extended using 3D dynamic programming.

摘要翻译： 公开了用于3D心脏体积中冠状动脉检测的方法和系统。 心室在心脏体积中分段，并且基于分段心室产生冠状动脉的初始估计。 然后基于心脏体积中的局部信息来改进冠状动脉的初始估计，以便检测心脏体积中的冠状动脉。 检测到的冠状动脉可以使用3D动态规划进行扩展。

公开(公告)号：US08582854B2

公开(公告)日：2013-11-12

申请号：US12487121

申请日：2009-06-18

申请人： Lei Zhang ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

发明人： Lei Zhang ,  Yefeng Zheng ,  Bogdan Georgescu ,  Fernando Vega-Higuera ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/00 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30101

摘要： A method and system for coronary artery detection in 3D cardiac volumes is disclosed. The heart chambers are segmented in the cardiac volume, and an initial estimation of a coronary artery is generated based on the segmented heart chambers. The initial estimation of the coronary artery is then refined based on local information in the cardiac volume in order to detect the coronary artery in the cardiac volume. The detected coronary artery can be extended using 3D dynamic programming.

摘要翻译： 公开了用于3D心脏体积中冠状动脉检测的方法和系统。 心室在心脏体积中分段，并且基于分段心室产生冠状动脉的初始估计。 然后基于心脏体积中的局部信息来改进冠状动脉的初始估计，以便在心脏体积中检测冠状动脉。 检测到的冠状动脉可以使用3D动态规划进行扩展。

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。

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：US20130129173A1

公开(公告)日：2013-05-23

申请号：US13682820

申请日：2012-11-21

申请人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Fernando Vega-Higuera ,  Dominik Bernhardt ,  Bogdan Georgescu ,  Dorin Comaniciu

发明人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Fernando Vega-Higuera ,  Dominik Bernhardt ,  Bogdan Georgescu ,  Dorin Comaniciu

IPC分类号： G06T7/00

CPC分类号： G06T7/0012 ,  G06T7/75 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101

摘要： A method and system for automated intervention planning for transcatheter aortic valve implantations using computed tomography (CT) data is disclosed. A patient-specific aortic valve model is detected in a CT volume of a patient. The patient-specific aortic valve model is detected by detecting a global location of the patient-specific aortic valve model in the CT volume, detecting aortic valve landmarks based on the detected global location, and fitting an aortic root surface model. Angulation parameters of a C-arm imaging device for acquiring intra-operative fluoroscopic images and anatomical measurements of the aortic valve are automatically determined based on the patient-specific aortic valve model.

摘要翻译： 公开了一种使用计算机断层扫描（CT）数据进行经导管主动脉瓣植入术的自动干预计划的方法和系统。 在患者的CT体积中检测患者特异性主动脉瓣模型。 通过检测CT体积中患者特异性主动脉瓣模型的全局位置检测患者特异性主动脉瓣模型，根据检测到的全局位置检测主动脉瓣标志，并配合主动脉根部表面模型。 基于患者特异性主动脉瓣模型自动确定用于获取手术中透视图像和主动脉瓣的解剖学测量的C形臂成像装置的角度参数。