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1.发明授权Method and system for regression-based 4D mitral valve segmentation from 2D+t magnetic resonance imaging slices 有权2D + t磁共振成像切片的基于回归的二维二尖瓣分割方法与系统公开(公告)号：US09196049B2
公开(公告)日：2015-11-24
申请号：US13416168
申请日：2012-03-09
申请人： Razvan Ioan Ionasec , Dime Vitanovski , Alexey Tsymbal , Gareth Funka-Lea , Dorin Comaniciu , Andreas Greiser , Edgar Mueller
发明人： Razvan Ioan Ionasec , Dime Vitanovski , Alexey Tsymbal , Gareth Funka-Lea , Dorin Comaniciu , Andreas Greiser , Edgar Mueller
CPC分类号： G06T7/0083 , G06T7/12 , G06T2207/10088 , G06T2207/20076 , G06T2207/20081 , G06T2207/30048
摘要： A system and method for regression-based segmentation of the mitral valve in 2D+t cardiac magnetic resonance (CMR) slices is disclosed. The 2D+t CMR slices are acquired according to a mitral valve-specific acquisition protocol introduced herein. A set of mitral valve landmarks is detected in each 2D CMR slice and mitral valve contours are estimated in each 2D CMR slice based on the detected landmarks. A full mitral valve model is reconstructed from the mitral valve contours estimated in the 2D CMR slices using a trained regression model. Each 2D CMR slice may be a cine image acquired over a full cardiac cycle. In this case, the segmentation method reconstructs a patient-specific 4D dynamic mitral valve model from the 2D+t CMR image data.
摘要翻译： 公开了一种用于2D + t心脏磁共振（CMR）切片二尖瓣回归分割的系统和方法。 根据本文引入的二尖瓣特异性获取方案获取2D + t CMR切片。 在每个2D CMR切片中检测到一组二尖瓣地标，并且基于检测到的界标在每个2D CMR切片中估计二尖瓣轮廓。 使用训练有素的回归模型，从2D CMR切片中估算的二尖瓣轮廓重建完整的二尖瓣模型。 每个2D CMR切片可以是在整个心动周期上获取的电影图像。 在这种情况下，分割方法从2D + t CMR图像数据重建患者特有的4D动态二尖瓣模型。
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2.发明申请Method and System for Regression-Based 4D Mitral Valve Segmentation From 2D+t Magnetic Resonance Imaging Slices 有权从2D + t磁共振成像切片回归基于4D二尖瓣分割的方法和系统公开(公告)号：US20120232379A1
公开(公告)日：2012-09-13
申请号：US13416168
申请日：2012-03-09
申请人： Razvan Ioan Ionasec , Dime Vitanovski , Alexey Tsymbal , Gareth Funka-Lea , Dorin Comaniciu , Andreas Greiser , Edgar Mueller
发明人： Razvan Ioan Ionasec , Dime Vitanovski , Alexey Tsymbal , Gareth Funka-Lea , Dorin Comaniciu , Andreas Greiser , Edgar Mueller
IPC分类号： A61B5/055
CPC分类号： G06T7/0083 , G06T7/12 , G06T2207/10088 , G06T2207/20076 , G06T2207/20081 , G06T2207/30048
摘要： A system and method for regression-based segmentation of the mitral valve in 2D+t cardiac magnetic resonance (CMR) slices is disclosed. The 2D+t CMR slices are acquired according to a mitral valve-specific acquisition protocol introduced herein. A set of mitral valve landmarks is detected in each 2D CMR slice and mitral valve contours are estimated in each 2D CMR slice based on the detected landmarks. A full mitral valve model is reconstructed from the mitral valve contours estimated in the 2D CMR slices using a trained regression model. Each 2D CMR slice may be a cine image acquired over a full cardiac cycle. In this case, the segmentation method reconstructs a patient-specific 4D dynamic mitral valve model from the 2D+t CMR image data.
摘要翻译： 公开了一种用于2D + t心脏磁共振（CMR）切片二尖瓣回归分割的系统和方法。 根据本文引入的二尖瓣特异性获取方案获取2D + t CMR切片。 在每个2D CMR切片中检测到一组二尖瓣地标，并且基于检测到的界标在每个2D CMR切片中估计二尖瓣轮廓。 使用训练有素的回归模型，从2D CMR切片中估算的二尖瓣轮廓重建完整的二尖瓣模型。 每个2D CMR切片可以是在整个心动周期上获取的电影图像。 在这种情况下，分割方法从2D + t CMR图像数据重建患者特定的4D动态二尖瓣模型。
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3.发明授权Method and system for left ventricle detection in 2D magnetic resonance images using ranking based multi-detector aggregation 有权使用基于排序的多检测器聚合的2D磁共振图像中左心室检测的方法和系统公开(公告)号：US08340385B2
公开(公告)日：2012-12-25
申请号：US12630061
申请日：2009-12-03
IPC分类号： G06K9/00
CPC分类号： G06K9/3241 , G06K2209/051 , G06T7/11 , G06T7/143 , G06T2207/10088 , G06T2207/20081 , G06T2207/30048
摘要： A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result by ranking the LV candidates based on the LV candidates, the apex candidates, and the base candidates using a trained ranking model.
摘要翻译： 公开了一种用于2D磁共振成像（MRI）图像中左心室（LV）检测的方法和系统。 为了检测2D MRI图像中的LV，例如使用基于边缘空间学习（MSL）的检测来检测多个LV候选。 然后在2D MRI图像中检测与LV相关的特征性解剖学标记的候选者。 特别地，在2D MRI图像中检测到顶点候选和基础候选。 通过使用训练排名模型，基于LV候选，顶点候选和基础候选对LV候选进行排名，将LV候选者中的一个选择为最终的LV检测结果。
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4.发明申请Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images Using Ranking Based Multi-Detector Aggregation 有权使用基于排序的多检测器聚合的2D磁共振图像中左心室检测的方法和系统公开(公告)号：US20100142787A1
公开(公告)日：2010-06-10
申请号：US12630061
申请日：2009-12-03
IPC分类号： G06K9/62
CPC分类号： G06K9/3241 , G06K2209/051 , G06T7/11 , G06T7/143 , G06T2207/10088 , G06T2207/20081 , G06T2207/30048
摘要： A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result by ranking the LV candidates based on the LV candidates, the apex candidates, and the base candidates using a trained ranking model.
摘要翻译： 公开了一种用于2D磁共振成像（MRI）图像中左心室（LV）检测的方法和系统。 为了检测2D MRI图像中的LV，例如使用基于边缘空间学习（MSL）的检测来检测多个LV候选。 然后在2D MRI图像中检测与LV相关的特征性解剖学标记的候选者。 特别地，在2D MRI图像中检测到顶点候选和基础候选。 通过使用训练排名模型，基于LV候选，顶点候选和基础候选对LV候选进行排名，将LV候选者中的一个选择为最终的LV检测结果。
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5.发明申请Method and System for Automatic View Planning for Cardiac Magnetic Resonance Imaging acquisition 有权心脏磁共振成像采集自动查看计划方法与系统公开(公告)号：US20120121152A1
公开(公告)日：2012-05-17
申请号：US13293239
申请日：2011-11-10
申请人： Xiaoguang Lu , Jens Guehring , Marie-Pierre Jolly , Bogdan Georgescu , Carmel Hayes , Peter Speier , Michaela Schmidt , Xiaoming Bi , Randall Kroeker , Dorin Comaniciu , Edgar Mueller
发明人： Xiaoguang Lu , Jens Guehring , Marie-Pierre Jolly , Bogdan Georgescu , Carmel Hayes , Peter Speier , Michaela Schmidt , Xiaoming Bi , Randall Kroeker , Dorin Comaniciu , Edgar Mueller
IPC分类号： G06K9/34
CPC分类号： G06K9/6857 , G06K9/6282
摘要： A method and system for automated view planning for cardiac magnetic resonance imaging (MRI) acquisition is disclosed. The method and system automatically generate a full scan prescription using a single 3D MRI volume. The left ventricle (LV) is segmented in the 3D MRI volume. Cardiac landmarks are detected in the automatically prescribed slices. A full scan prescription, including a short axis stack and 2-chamber, 3-chamber, and 4-chamber views, is automatically generated based on cardiac anchors provided by the segmented left ventricle and the detected cardiac landmarks in the 3D MRI volume.
摘要翻译： 公开了用于心脏磁共振成像（MRI）采集的自动视图规划的方法和系统。 该方法和系统使用单个3D MRI体积自动生成全扫描处方。 左心室（LV）在3D MRI体积中分段。 在自动规定的切片中检测到心脏地标。 基于由分割的左心室提供的心脏锚定点和3D MRI体积中检测到的心脏地标，自动生成全扫描处方，包括短轴堆叠和2室，3室和4室视图。
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6.发明授权Method and system for automatic view planning for cardiac magnetic resonance imaging acquisition 有权心脏磁共振成像采集自动视图规划方法与系统公开(公告)号：US08948484B2
公开(公告)日：2015-02-03
申请号：US13293239
申请日：2011-11-10
申请人： Xiaoguang Lu , Jens Guehring , Marie-Pierre Jolly , Bogdan Georgescu , Carmel Hayes , Peter Speier , Michaela Schmidt , Xiaoming Bi , Randall Kroeker , Dorin Comaniciu , Edgar Mueller
发明人： Xiaoguang Lu , Jens Guehring , Marie-Pierre Jolly , Bogdan Georgescu , Carmel Hayes , Peter Speier , Michaela Schmidt , Xiaoming Bi , Randall Kroeker , Dorin Comaniciu , Edgar Mueller
CPC分类号： G06K9/6857 , G06K9/6282
摘要： A method and system for automated view planning for cardiac magnetic resonance imaging (MRI) acquisition is disclosed. The method and system automatically generate a full scan prescription using a single 3D MRI volume. The left ventricle (LV) is segmented in the 3D MRI volume. Cardiac landmarks are detected in the automatically prescribed slices. A full scan prescription, including a short axis stack and 2-chamber, 3-chamber, and 4-chamber views, is automatically generated based on cardiac anchors provided by the segmented left ventricle and the detected cardiac landmarks in the 3D MRI volume.
摘要翻译： 公开了用于心脏磁共振成像（MRI）采集的自动视图规划的方法和系统。 该方法和系统使用单个3D MRI体积自动生成全扫描处方。 左心室（LV）在3D MRI体积中分段。 在自动规定的切片中检测到心脏地标。 基于由分割的左心室提供的心脏锚定点和3D MRI体积中检测到的心脏地标，自动生成全扫描处方，包括短轴堆叠和2室，3室和4室视图。
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7.发明授权Method and system for automatic landmark detection using discriminative joint context 有权使用区分联合上下文进行自动地标检测的方法和系统公开(公告)号：US08218849B2
公开(公告)日：2012-07-10
申请号：US12549461
申请日：2009-08-28
IPC分类号： A61B6/03
CPC分类号： G06K9/72 , G06T7/13 , G06T7/73 , G06T2207/10088 , G06T2207/20164 , G06T2207/30048
摘要： A method and system for detecting anatomic landmarks in medical images is disclosed. In order to detect multiple related anatomic landmarks, a plurality of landmark candidates are first detected individually using trained landmark detectors. A joint context is then generated for each combination of the landmark candidates. The best combination of landmarks in then determined based on the joint context using a trained joint context detector.
摘要翻译： 公开了用于检测医学图像中的解剖学标记的方法和系统。 为了检测多个相关的解剖标志，首先使用训练有素的地标检测器单独检测多个地标候选物。 然后为地标候选人的每个组合生成联合上下文。 使用训练有素的联合上下文检测器，基于联合上下文确定的地标的最佳组合。
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8.发明申请Method and System for Automatic Landmark Detection Using Discriminative Joint Context 有权使用歧义联合上下文的自动地标检测方法与系统公开(公告)号：US20100067764A1
公开(公告)日：2010-03-18
申请号：US12549461
申请日：2009-08-28
IPC分类号： G06K9/00
CPC分类号： G06K9/72 , G06T7/13 , G06T7/73 , G06T2207/10088 , G06T2207/20164 , G06T2207/30048
摘要： A method and system for detecting anatomic landmarks in medical images is disclosed. In order to detect multiple related anatomic landmarks, a plurality of landmark candidates are first detected individually using trained landmark detectors. A joint context is then generated for each combination of the landmark candidates. The best combination of landmarks in then determined based on the joint context using a trained joint context detector.
摘要翻译： 公开了用于检测医学图像中的解剖学标记的方法和系统。 为了检测多个相关的解剖标志，首先使用训练有素的地标检测器单独检测多个地标候选物。 然后为地标候选人的每个组合生成联合上下文。 使用训练有素的联合上下文检测器，基于联合上下文确定的地标的最佳组合。
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9.发明申请公开(公告)号：US20140062481A1
公开(公告)日：2014-03-06
申请号：US14018761
申请日：2013-09-05
申请人： Andreas Greiser , Jens Guehring , Randall Kroeker , Edgar Mueller , Manuela Rick , Michaela Schmidt , Aurelien Stalder
发明人： Andreas Greiser , Jens Guehring , Randall Kroeker , Edgar Mueller , Manuela Rick , Michaela Schmidt , Aurelien Stalder
IPC分类号： G01R33/56
CPC分类号： G01R33/56 , G01R33/56366
摘要： In MR imaging of a predetermined volume segment of a living examination subject, the examination subject is stimulated with a defined stimulation pattern, MR data of the predetermined volume segment, are acquired, and MR images based on the MR data are generated that depend on the stimulation pattern. The predetermined volume segment is an internal organ or muscle tissue of the examination subject.
摘要翻译： 在生物检查对象的预定体积段的MR成像中，以确定的刺激模式刺激检查对象，获取预定体积段的MR数据，并且生成依赖于MR数据的MR图像 刺激模式。 预定体积段是检查对象的内部器官或肌肉组织。
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10.发明授权Method and magnetic resonance system for MR imaging of a predetermined volume segment of a living examination subject by stimulation of the examination subject 有权通过刺激检查对象，对生活检查对象的预定体积段进行MR成像的方法和磁共振系统公开(公告)号：US09465093B2
公开(公告)日：2016-10-11
申请号：US14018761
申请日：2013-09-05
申请人： Andreas Greiser , Jens Guehring , Randall Kroeker , Edgar Mueller , Manuela Rick , Michaela Schmidt , Aurelien Stalder
发明人： Andreas Greiser , Jens Guehring , Randall Kroeker , Edgar Mueller , Manuela Rick , Michaela Schmidt , Aurelien Stalder
IPC分类号： G01R33/56 , G01R33/563
CPC分类号： G01R33/56 , G01R33/56366
摘要： In MR imaging of a predetermined volume segment of a living examination subject, the examination subject is stimulated with a defined stimulation pattern, MR data of the predetermined volume segment, are acquired, and MR images based on the MR data are generated that depend on the stimulation pattern. The predetermined volume segment is an internal organ or muscle tissue of the examination subject.
摘要翻译： 在生物检查对象的预定体积段的MR成像中，以确定的刺激模式刺激检查对象，获取预定体积段的MR数据，并且生成依赖于MR数据的MR图像 刺激模式。 预定体积段是检查对象的内部器官或肌肉组织。
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