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1.发明授权Method and system for automatic native and bypass coronary ostia detection in cardiac computed tomography volumes 有权心脏计算机断层扫描体积中自动原位和旁路冠状动脉口腔检测的方法和系统公开(公告)号：US09042619B2
公开(公告)日：2015-05-26
申请号：US13233220
申请日：2011-09-15
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/12 , G06T2207/10072 , G06T2207/30048 , G06T2207/30101 , G06T2207/30172
摘要： A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region.
摘要翻译： 公开了用于检测3D体积中的天然和旁路冠状动脉口腔的方法和系统，例如CT体积。 通过使用边缘空间学习（MSL）检测在3D体积中定义左天然冠状动脉口和右天然冠状动脉口的位置的边界框来检测本地冠状动脉，并且局部改善左天然冠状动脉口和右侧的位置 使用训练有素的本地冠状动脉口腔检测器进行本地冠状动脉口。 通过分割3D体积中的上升主动脉表面网格来检测旁路冠状动脉口腔，基于多个训练体积中注释旁路冠状动脉口腔的分布，生成升主动脉表面网格上的多个网格点的搜索区域，以及 通过搜索搜索区域中的多个网格点来检测旁路冠状动脉口。
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2.发明授权Method and system for automatic detection and classification of coronary stenoses in cardiac CT volumes 有权心脏CT体积冠状动脉狭窄自动检测和分类方法及系统公开(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
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。
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3.发明申请Method and System for Automatic Detection and Classification of Coronary Stenoses in Cardiac CT Volumes 有权心脏CT卷冠状动脉狭窄自动检测与分类方法与系统公开(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。
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4.发明申请Method and System for Automatic Native and Bypass Coronary Ostia Detection in Cardiac Computed Tomography Volumes 有权心脏计算机断层扫描中自动本机和旁路冠状动脉检测的方法和系统公开(公告)号：US20120071755A1
公开(公告)日：2012-03-22
申请号：US13233220
申请日：2011-09-15
IPC分类号： A61B6/03
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/12 , G06T2207/10072 , G06T2207/30048 , G06T2207/30101 , G06T2207/30172
摘要： A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region.
摘要翻译： 公开了用于检测3D体积中的天然和旁路冠状动脉口腔的方法和系统，例如CT体积。 通过使用边缘空间学习（MSL）检测在3D体积中定义左天然冠状动脉口和右天然冠状动脉口的位置的边界框来检测本地冠状动脉，并且局部改善左天然冠状动脉口和右侧的位置 使用训练有素的本地冠状动脉口腔检测器进行本地冠状动脉口。 通过分割3D体积中的上升主动脉表面网格来检测旁路冠状动脉口腔，基于多个训练体积中注释旁路冠状动脉口腔的分布，生成升主动脉表面网格上的多个网格点的搜索区域，以及 通过搜索搜索区域中的多个网格点来检测旁路冠状动脉口。
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5.发明授权Method and system for heart isolation in cardiac computed tomography volumes for patients with coronary artery bypasses 有权冠状动脉旁路患者心脏计算机断层摄影术中心脏隔离的方法和系统公开(公告)号：US08675943B2
公开(公告)日：2014-03-18
申请号：US13295217
申请日：2011-11-14
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/11 , G06T2207/10081 , G06T2207/20124 , G06T2207/30048
摘要： A method and system for isolating the heart in a 3D volume, such as a cardiac CT volume, for patients with coronary artery bypasses is disclosed. An initial heart isolation mask is extracted from a 3D volume, such as a cardiac CT volume. The aortic root and ascending aorta are segmented in the 3D volume, resulting in an aorta mesh. The aorta mesh is expanded to include bypass coronary arteries. An expanded heart isolation mask is generated by combining the initial heart isolation mask with an expanded aorta mask defined by the expanded aorta mesh.
摘要翻译： 公开了一种用于分离冠状动脉旁路患者的3D体积（例如心脏CT体积）中的心脏的方法和系统。 从3D体积（例如心脏CT体积）提取初始心脏隔离掩模。 主动脉根部和升主动脉在3D体积中分段，导致主动脉网。 主动脉网扩张包括旁路冠状动脉。 通过将初始心脏隔离掩模与由扩张的主动脉网所定义的扩张主动脉掩膜组合来产生扩张的心脏隔离掩模。
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6.发明申请Method and System for Heart Isolation in Cardiac Computed Tomography Volumes for Patients with Coronary Artery Bypasses 有权心脏计算机断层摄影术心脏隔离方法与系统用于冠状动脉旁路术患者公开(公告)号：US20120134564A1
公开(公告)日：2012-05-31
申请号：US13295217
申请日：2011-11-14
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/11 , G06T2207/10081 , G06T2207/20124 , G06T2207/30048
摘要： A method and system for isolating the heart in a 3D volume, such as a cardiac CT volume, for patients with coronary artery bypasses is disclosed. An initial heart isolation mask is extracted from a 3D volume, such as a cardiac CT volume. The aortic root and ascending aorta are segmented in the 3D volume, resulting in an aorta mesh. The aorta mesh is expanded to include bypass coronary arteries. An expanded heart isolation mask is generated by combining the initial heart isolation mask with an expanded aorta mask defined by the expanded aorta mesh.
摘要翻译： 公开了一种用于分离冠状动脉旁路患者的3D体积（例如心脏CT体积）中的心脏的方法和系统。 从3D体积（例如心脏CT体积）提取初始心脏隔离掩模。 主动脉根部和升主动脉在3D体积中分段，导致主动脉网。 主动脉网扩张包括旁路冠状动脉。 通过将初始心脏隔离掩模与由扩张的主动脉网所定义的扩张主动脉掩膜组合来产生扩张的心脏隔离掩模。
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公开(公告)号：US08582854B2
公开(公告)日：2013-11-12
申请号：US12487121
申请日：2009-06-18
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。
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8.发明申请Method and System for Automatic Detection of Coronary Stenosis in Cardiac Computed Tomography Data 有权心脏计算机断层扫描数据冠状动脉狭窄自动检测方法与系统公开(公告)号：US20100076296A1
公开(公告)日：2010-03-25
申请号：US12487223
申请日：2009-06-18
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。
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9.发明授权公开(公告)号：US09761004B2
公开(公告)日：2017-09-12
申请号：US12487223
申请日：2009-06-18
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.
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公开(公告)号：US20100067760A1
公开(公告)日：2010-03-18
申请号：US12487121
申请日：2009-06-18
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。
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