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1. 发明授权

US09424648B2 Method and system for device detection in 2D medical images 有权
标题翻译：二维医学图像中设备检测的方法和系统
公开(公告)号：US09424648B2
公开(公告)日：2016-08-23
申请号：US13539702
申请日：2012-07-02
申请人： Stratis Tzoumas , Peng Wang , Yefeng Zheng , Matthias John , Dorin Comaniciu
发明人： Stratis Tzoumas , Peng Wang , Yefeng Zheng , Matthias John , Dorin Comaniciu
IPC分类号： G06K9/00 , G06T7/00 , G06K9/62
CPC分类号： G06K9/6282 , G06T7/74 , G06T2207/10064 , G06T2207/30021
摘要： A method and system for device detection in a 2D medical image. In order to account for shape variation of a 3D object in a 2D imaging plane, a hierarchical tree-structured array of trained classifiers is used to detect a 3D object, such as a pigtail catheter in a 2D medical image, such as a fluoroscopic image. The hierarchical tree-structured array of trained classifiers increases a dimensionality of the search space with each hierarchical level, and as the search space is increased, the classification is split into object sub-classes using trained classifiers independently trained for each sub-class.
摘要翻译：一种用于2D医学图像中的装置检测的方法和系统。为了考虑2D成像平面中3D对象的形状变化，使用训练分类器的分层树结构阵列来检测3D对象，例如2D医学图像中的尾纤导管，例如荧光透视图像。经过训练的分类器的层次树结构的阵列增加了每个层级的搜索空间的维度，并且随着搜索空间的增加，使用针对每个子类独立训练的训练分类器将分类分为对象子类。

2. 发明申请

US20130011030A1 Method and System for Device Detection in 2D Medical Images 有权
标题翻译： 2D医学图像中器件检测的方法和系统
公开(公告)号：US20130011030A1
公开(公告)日：2013-01-10
申请号：US13539702
申请日：2012-07-02
申请人： Stratis Tzoumas , Peng Wang , Yefeng Zheng , Matthias John , Dorin Comaniciu
发明人： Stratis Tzoumas , Peng Wang , Yefeng Zheng , Matthias John , Dorin Comaniciu
IPC分类号： G06K9/62
CPC分类号： G06K9/6282 , G06T7/74 , G06T2207/10064 , G06T2207/30021
摘要： A method and system for device detection in a 2D medical image is disclosed. In order to account for shape variation of a 3D object in a 2D imaging plane, a hierarchical tree-structured array of trained classifiers is used to detect a 3D object, such as a pigtail catheter in a 2D medical image, such as a fluoroscopic image. The hierarchical tree-structured array of trained classifiers increases a dimensionality of the search space with each hierarchical level, and as the search space is increased, the classification is split into object sub-classes using trained classifiers independently trained for each sub-class.
摘要翻译：公开了一种用于2D医学图像中的装置检测的方法和系统。为了考虑2D成像平面中3D对象的形状变化，使用训练分类器的分层树结构阵列来检测3D对象，例如2D医学图像中的尾纤导管，例如荧光透视图像。经过训练的分类器的层次树结构的阵列增加了每个层级的搜索空间的维度，并且随着搜索空间的增加，使用针对每个子类独立训练的训练分类器将分类分为对象子类。

3. 发明授权

US09014423B2 Method and system for catheter tracking in fluoroscopic images using adaptive discriminant learning and measurement fusion 有权
标题翻译：使用自适应判别学习和测量融合的荧光镜图像中导管跟踪的方法和系统
公开(公告)号：US09014423B2
公开(公告)日：2015-04-21
申请号：US13412882
申请日：2012-03-06
申请人： Peng Wang , Yefeng Zheng , Matthias John , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
发明人： Peng Wang , Yefeng Zheng , Matthias John , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
IPC分类号： G06K9/00 , A61B6/00 , A61B6/12 , G06T7/20
CPC分类号： A61B6/487 , A61B6/12 , A61B6/503 , G06T7/246 , G06T2207/10016 , G06T2207/10064 , G06T2207/20076 , G06T2207/20081 , G06T2207/30021 , G06T2207/30048
摘要： A method and system for adaptive discriminant learning and measurement fusion for image based catheter tracking is disclosed. An adaptive discriminant model is trained online based on a tracked object, such as a pigtail catheter tip, in at least one previous frame of a fluoroscopic image sequence. The object is tracked in the current frame of the fluoroscopic image sequence based at least on the adaptive discriminant model trained online. The object may be tracked in the current frame based on a fusion of three types of measurement models including the adaptive discriminant model trained online, an object detection model trained offline, and an online appearance model.
摘要翻译：公开了一种用于基于图像的导管跟踪的自适应判别学习和测量融合的方法和系统。在荧光镜像图像序列的至少一个先前帧中，基于跟踪对象（例如尾纤导管尖端）在线训练自适应判别模型。至少基于在线训练的自适应判别模型，在透视图像序列的当前帧中跟踪对象。基于三种类型的测量模型的融合，可以在当前帧中跟踪对象，包括在线训练的自适应判别模型，离线训练的对象检测模型和在线外观模型。

4. 发明申请

US20120238866A1 Method and System for Catheter Tracking in Fluoroscopic Images Using Adaptive Discriminant Learning and Measurement Fusion 有权
标题翻译：使用自适应判别学习和测量融合的荧光图像中导管跟踪的方法和系统
公开(公告)号：US20120238866A1
公开(公告)日：2012-09-20
申请号：US13412882
申请日：2012-03-06
申请人： Peng Wang , Yefeng Zheng , Matthias John , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
发明人： Peng Wang , Yefeng Zheng , Matthias John , Jan Boese , Gareth Funka-Lea , Dorin Comaniciu
IPC分类号： A61B6/00 , A61M25/00
CPC分类号： A61B6/487 , A61B6/12 , A61B6/503 , G06T7/246 , G06T2207/10016 , G06T2207/10064 , G06T2207/20076 , G06T2207/20081 , G06T2207/30021 , G06T2207/30048
摘要： A method and system for adaptive discriminant learning and measurement fusion for image based catheter tracking is disclosed. An adaptive discriminant model is trained online based on a tracked object, such as a pigtail catheter tip, in at least one previous frame of a fluoroscopic image sequence. The object is tracked in the current frame of the fluoroscopic image sequence based at least on the adaptive discriminant model trained online. The object may be tracked in the current frame based on a fusion of three types of measurement models including the adaptive discriminant model trained online, an object detection model trained offline, and an online appearance model.
摘要翻译：公开了一种用于基于图像的导管跟踪的自适应判别学习和测量融合的方法和系统。在荧光镜像图像序列的至少一个先前帧中，基于跟踪对象（例如尾纤导管尖端）在线训练自适应判别模型。至少基于在线训练的自适应判别模型，在透视图像序列的当前帧中跟踪对象。基于三种类型的测量模型的融合，可以在当前帧中跟踪对象，包括在线训练的自适应判别模型，离线训练的对象检测模型和在线外观模型。

5. 发明申请

US20140187942A1 Needle Enhancement in Diagnostic Ultrasound Imaging 有权
标题翻译：针刺增强诊断超声成像
公开(公告)号：US20140187942A1
公开(公告)日：2014-07-03
申请号：US13733310
申请日：2013-01-03
申请人： Peng Wang , Terrence Chen , Ali Kamen , Jeffrey Stoll , Dorin Comaniciu , Sara Good
发明人： Peng Wang , Terrence Chen , Ali Kamen , Jeffrey Stoll , Dorin Comaniciu , Sara Good
IPC分类号： A61B8/08
CPC分类号： A61B8/0841 , A61B8/461 , A61B8/5246
摘要： A needle is enhanced in a medical diagnostic ultrasound image. The image intensities associated with a needle in an image are adaptively increased and/or enhanced by compounding from a plurality of ultrasound images. Filtering methods and probabilistic methods are used to locate possible needle locations. In one approach, possible needles are found in component frames that are acquired at the same time but at different beam orientations. The possible needles are associated with each other across the component frames and false detections are removed based on the associations. In one embodiment of needle detection in an ultrasound component frame, lines are found first. The lines are then searched to find possible needle segments. In another embodiment, data from different times may be used to find needle motion and differences from a reference, providing the features in additional to features from a single component frame for needle detection.
摘要翻译：在医疗诊断超声图像中增强针。通过从多个超声图像的复合来自适应地增加和/或增强与图像中的针相关联的图像强度。使用过滤方法和概率方法来定位可能的针位置。在一种方法中，可以在同时获取但是以不同波束取向获得的分量帧中找到可能的针。可能的针在组件框架之间彼此相关联，并且基于关联来去除错误检测。在超声组件框架中的针检测的一个实施例中，首先找到线。然后搜索线以找到可能的针段。在另一个实施例中，来自不同时间的数据可用于从参考找到针运动和差异，从单个组件框架中提供用于针检测的特征附加的特征。

6. 发明授权

US08737725B2 Method and system for learning based object detection in medical images 有权
标题翻译：医学图像学习基于物体检测的方法与系统
公开(公告)号：US08737725B2
公开(公告)日：2014-05-27
申请号：US13235747
申请日：2011-09-19
申请人： Peng Wang , Terrence Chen , Shaohua Kevin Zhou , Dorin Comaniciu , Martin Ostermeier
发明人： Peng Wang , Terrence Chen , Shaohua Kevin Zhou , Dorin Comaniciu , Martin Ostermeier
IPC分类号： G06K9/62
CPC分类号： G06K9/4614 , G06K9/6257 , G06K9/6282
摘要： Methods and Systems for training a learning based classifier and object detection in medical images is disclosed. In order to train a learning based classifier, positive training samples and negative training samples are generated based on annotated training images. Features for the positive training samples and the negative training samples are extracted. The features include an extended Haar feature set including tip features and corner features. A discriminative classifier is trained based on the extracted features.
摘要翻译：公开了用于训练医学图像中基于学习的分类器和对象检测的方法和系统。为了训练基于学习的分类器，基于注释的训练图像生成正训练样本和负训练样本。提取正训练样本和负训练样本的特征。功能包括扩展的Haar功能集，包括提示功能和角特征。基于提取的特征对歧视性分类器进行训练。

7. 发明授权

US08675914B2 Method and system for needle tracking in fluoroscopic image sequences 有权
标题翻译：透视图像序列中针跟踪的方法和系统
公开(公告)号：US08675914B2
公开(公告)日：2014-03-18
申请号：US12880319
申请日：2010-09-13
申请人： Peng Wang , Marcus Pfister , Terrence Chen , Martin Ostermeier , Dorin Comaniciu
发明人： Peng Wang , Marcus Pfister , Terrence Chen , Martin Ostermeier , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： A61B6/12
摘要： A method and system for tracking a needle in a fluoroscopic image sequence is disclosed. In order to track a needle in a fluoroscopic image sequence, the needle is initialized in a first frame of the fluoroscopic image sequence. Needle segments are detected in each subsequent frame of the fluoroscopic image sequence, and the needle is detected in each frame of the fluoroscopic image by tracking the needle from a previous frame of the fluoroscopic image sequence based on the detected needle segments in the current frame.
摘要翻译：公开了一种用于在荧光镜像图像序列中跟踪针的方法和系统。为了在透视图像序列中跟踪针，在荧光镜图像序列的第一帧中初始化针。在透视图像序列的每个随后的帧中检测针段，并且基于当前帧中检测到的针段，通过从荧光透视图像序列的先前帧跟踪针来在荧光镜图像的每个帧中检测针。

8. 发明授权

US08423121B2 Method and system for guidewire tracking in fluoroscopic image sequences 有权
标题翻译：荧光图像序列中导丝跟踪的方法和系统
公开(公告)号：US08423121B2
公开(公告)日：2013-04-16
申请号：US12538456
申请日：2009-08-10
申请人： Peng Wang , Ying Zhu , Wei Zhang , Terrence Chen , Peter Durlak , Ulrich Bill , Dorin Comaniciu
发明人： Peng Wang , Ying Zhu , Wei Zhang , Terrence Chen , Peter Durlak , Ulrich Bill , Dorin Comaniciu
IPC分类号： A61B5/05
CPC分类号： A61B6/12 , A61B2034/2065 , A61B2090/376 , G06T7/246 , G06T2207/10016 , G06T2207/10121 , G06T2207/30021
摘要： A method and system for tracking a guidewire in a fluoroscopic image sequence is disclosed. In order to track a guidewire in a fluoroscopic image sequence, guidewire segments are detected in each frame of the fluoroscopic image sequence. The guidewire in each frame of the fluoroscopic image sequence is then detected by rigidly tracking the guidewire from a previous frame of the fluoroscopic image sequence based on the detected guidewire segments in the current frame. The guidewire is then non-rigidly deformed in each frame based on the guidewire position in the previous frame.
摘要翻译：公开了一种用于跟踪透视图像序列中的导丝的方法和系统。为了在透视图像序列中跟踪导丝，在荧光镜图像序列的每个帧中检测导丝段。然后通过基于当前帧中检测到的导丝段从透视图像序列的前一帧刚性跟踪导丝来检测透视图像序列的每个帧中的导丝。然后基于先前框架中的导丝线位置，导丝在每个框架中不会刚性变形。

9. 发明申请

US20120059253A1 Method and System for Image Based Device Tracking for Co-registration of Angiography and Intravascular Ultrasound Images 有权
标题翻译：用于血管造影和血管内超声图像共同配准的基于图像的设备跟踪的方法和系统
公开(公告)号：US20120059253A1
公开(公告)日：2012-03-08
申请号：US13171560
申请日：2011-06-29
申请人： Peng Wang , Simone Prummer , Terrence Chen , Dorin Comaniciu , Olivier Ecabert , Martin Ostermeier
发明人： Peng Wang , Simone Prummer , Terrence Chen , Dorin Comaniciu , Olivier Ecabert , Martin Ostermeier
IPC分类号： A61B6/00 , A61B8/00
CPC分类号： A61B8/0891 , A61B6/00 , A61B6/12 , A61B6/481 , A61B6/487 , A61B6/504 , A61B6/5247 , A61B8/12 , A61B8/5238 , G06T7/251 , G06T2207/10121 , G06T2207/10132
摘要： A method and system for co-registration of angiography data and intra vascular ultrasound (IVUS) data is disclosed. A vessel branch is detected in an angiogram image. A sequence of IVUS images is received from an IVUS transducer while the IVUS transducer is being pulled back through the vessel branch. A fluoroscopic image sequence is received while the IVUS transducer is being pulled back through the vessel branch. The IVUS transducer and a guiding catheter tip are detected in each frame of the fluoroscopic image sequence. The IVUS transducer detected in each frame of the fluoroscopic image sequence is mapped to a respective location in the detected vessel branch of the angiogram image. Each of the IVUS images is registered to a respective location in the detected vessel branch of the angiogram image based on the mapped location of the IVUS transducer detected in a corresponding frame of the fluoroscopic image sequence.
摘要翻译：公开了用于血管造影数据和血管内超声（IVUS）数据共同配准的方法和系统。在血管造影图像中检测血管分支。当IVUS传感器被拉回血管分支时，从IVUS换能器接收一系列IVUS图像。当IVUS传感器被拉回通过血管分支时，接收透视图像序列。在荧光镜图像序列的每个帧中检测IVUS换能器和引导导管尖端。在荧光镜像图像序列的每个帧中检测到的IVUS换能器被映射到血管造影图像的检测到的血管分支中的相应位置。基于在荧光镜像图像序列的相应帧中检测到的IVUS换能器的映射位置，将每个IVUS图像登记在血管造影图像的检测的血管分支中的相应位置。

10. 发明授权

US09524550B2 System and method for coronary digital subtraction angiography 有权
标题翻译：冠状动脉数字减影血管造影的系统和方法
公开(公告)号：US09524550B2
公开(公告)日：2016-12-20
申请号：US12774146
申请日：2010-05-05
申请人： Ying Zhu , Simone Prummer , Peng Wang , Terrence Chen , Martin Ostermeier , Dorin Comaniciu
发明人： Ying Zhu , Simone Prummer , Peng Wang , Terrence Chen , Martin Ostermeier , Dorin Comaniciu
IPC分类号： G06T7/00
CPC分类号： G06T7/0016 , G06T2207/10121 , G06T2207/20224 , G06T2207/30101
摘要： 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.
摘要翻译：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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