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1. 发明申请

US20090062641A1 Method and system for catheter detection and tracking in a fluoroscopic image sequence 失效
标题翻译：荧光镜图像序列中导管检测和跟踪的方法和系统
公开(公告)号：US20090062641A1
公开(公告)日：2009-03-05
申请号：US12221732
申请日：2008-08-06
申请人： Adrian Barbu , Wei Zhang , Norbert Strobel , Adam K. Galant , Ulrich Bill , Dorin Comaniciu
发明人： Adrian Barbu , Wei Zhang , Norbert Strobel , Adam K. Galant , Ulrich Bill , Dorin Comaniciu
IPC分类号： A61B5/05
CPC分类号： A61B34/20 , A61B2090/376
摘要： A method and system for detecting and tracking an ablation catheter tip in a fluoroscopic image sequence is disclosed. Catheter tip candidates are detected in each frame of the fluoroscopic image sequence using marginal space learning. The detected catheter tip candidates are then tracked over all the frames of the fluoroscopic image sequence in order to determine an ablation catheter tip location in each frame.
摘要翻译：公开了一种用于在透视图像序列中检测和跟踪消融导管尖端的方法和系统。使用边缘空间学习在荧光镜像图像序列的每个帧中检测导管尖端候选。然后在荧光镜像图像序列的所有帧上跟踪检测到的导管尖端候选，以便确定每个帧中的消融导管尖端位置。

2. 发明授权

US08396533B2 Method and system for catheter detection and tracking in a fluoroscopic image sequence 失效
公开(公告)号：US08396533B2
公开(公告)日：2013-03-12
申请号：US12221732
申请日：2008-08-06
申请人： Adrian Barbu , Wei Zhang , Norbert Strobel , Adam K. Galant , Ulrich Bill , Dorin Comaniciu
发明人： Adrian Barbu , Wei Zhang , Norbert Strobel , Adam K. Galant , Ulrich Bill , Dorin Comaniciu
IPC分类号： A61B5/05
CPC分类号： A61B34/20 , A61B2090/376
摘要： A method and system for detecting and tracking an ablation catheter tip in a fluoroscopic image sequence is disclosed. Catheter tip candidates are detected in each frame of the fluoroscopic image sequence using marginal space learning. The detected catheter tip candidates are then tracked over all the frames of the fluoroscopic image sequence in order to determine an ablation catheter tip location in each frame.

3. 发明授权

US08355550B2 Methods and apparatus for virtual coronary mapping 有权
标题翻译：虚拟冠状动脉成像的方法和装置
公开(公告)号：US08355550B2
公开(公告)日：2013-01-15
申请号：US12150816
申请日：2008-05-01
申请人： Wei Zhang , Ying Zhu , Adrian Barbu , Richard Socher , Stefan Böhm , Peter Durlak , Dorin Comaniciu
发明人： Wei Zhang , Ying Zhu , Adrian Barbu , Richard Socher , Stefan Böhm , Peter Durlak , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/3216 , A61B6/12 , A61B6/481 , A61B6/504 , G06K2009/00932 , G06K2209/05 , G06T7/12 , G06T2207/20044 , G06T2207/30101 , G06T2207/30172
摘要： A virtual map of vessels of interest in medical procedures, such as coronary angioplasty is created so that doses of contrasting agent given to a patient may be reduced. A position of a coronary guidewire is determined and locations of vessel boundaries are found. When the contrast agent has dissipated, virtual maps of the vessels are created as new images. The locations of the determined vessel boundaries are imported to a mapping system and an image obtained without using a contrast agent is modified based on the imported locations of vessel boundaries. This creates a virtual map of the vessels.
摘要翻译：创建医疗程序感兴趣的血管的虚拟地图，例如冠状动脉血管成形术，以便减少给予患者的剂量的造影剂。确定冠状导丝的位置并找到血管边界的位置。当造影剂消散时，血管的虚拟地图被创建为新的图像。确定的容器边界的位置被导入到映射系统，并且基于导入的容器边界的位置来修改不使用造影剂获得的图像。这将创建一个血管的虚拟地图。

4. 发明申请

US20090080728A1 Method and system for vessel segmentation in fluoroscopic images 有权
标题翻译：荧光镜图像中血管分割的方法和系统
公开(公告)号：US20090080728A1
公开(公告)日：2009-03-26
申请号：US12229663
申请日：2008-08-26
申请人： Richard Socher , Adrian Barbu , Bogdan Georgescu , Wei Zhang , Peter Durlak , Stefan Bohm , Dorin Comaniciu
发明人： Richard Socher , Adrian Barbu , Bogdan Georgescu , Wei Zhang , Peter Durlak , Stefan Bohm , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/6256 , G06K2009/00932 , G06T7/12 , G06T7/162 , G06T2207/10121 , G06T2207/30048 , G06T2207/30101
摘要： A method and system for vessel segmentation in fluoroscopic images is disclosed. Hierarchical learning-based detection is used to perform the vessel segmentation. A boundary classifier is trained and used to detect boundary pixels of a vessel in a fluoroscopic image. A cross-segment classifier is trained and used to detect cross-segments connecting the boundary pixels. A quadrilateral classifier is trained and used to detect quadrilaterals connecting the cross segments. Dynamic programming is then used to combine the quadrilaterals to generate a tubular structure representing the vessel.
摘要翻译：公开了一种用于荧光镜图像中血管分割的方法和系统。使用基于层次学习的检测来执行血管分割。边界分类器被训练并用于检测透视图像中血管的边界像素。训练跨段分类器，用于检测连接边界像素的交叉段。四边形分类器被训练并用于检测连接横截面的四边形。然后使用动态规划来组合四边形以产生代表该容器的管状结构。

5. 发明授权

US07940971B2 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：US07940971B2
公开(公告)日：2011-05-10
申请号：US11779405
申请日：2007-07-18
申请人： Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Chandan K. Reddy , Dorin Comaniciu
发明人： Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Chandan K. Reddy , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/34 , G06K2209/05 , Y10S128/922
摘要： A method and system for extracting motion-based layers from fluoroscopic image sequences are disclosed. Portions of multiple objects, such as anatomical structures, are detected in the fluoroscopic images. Motion of the objects is estimated between the images is the sequence of fluoroscopic images. The images in the fluoroscopic image sequence are then divided into layers based on the estimated motion. In a particular implementation, the coronary vessel tree and the diaphragm can be extracted in separate motion layers from coronary angiograph fluoroscopic image sequence.
摘要翻译：公开了一种从透视图像序列中提取基于运动的层的方法和系统。在透视图像中检测到多个对象的部分，例如解剖结构。在图像之间估计物体的运动是荧光图像的序列。然后，基于估计的运动将透视图像序列中的图像分成多个层。在特定的实施方案中，冠状动脉血管和隔膜可以与冠状动脉血管造影术透视图像序列分开提取。

6. 发明申请

US20090080729A1 Method and system for evaluating image segmentation based on visibility 有权
标题翻译：基于可见度评估图像分割的方法和系统
公开(公告)号：US20090080729A1
公开(公告)日：2009-03-26
申请号：US12231634
申请日：2008-09-04
申请人： Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Dorin Comaniciu
发明人： Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Dorin Comaniciu
IPC分类号： A61B5/00
CPC分类号： G06T7/60 , G06T7/11 , G06T7/174 , G06T7/246 , G06T2207/10121 , G06T2207/30048 , G06T2207/30101
摘要： A method and system for evaluating image segmentation is disclosed. In order to quantitatively evaluate an image segmentation technique, synthetic image data is generated and the synthetic image data is segmented to extract an object using the segmentation technique. This segmentation results in a foreground containing the extracted object and a background. The visibility of the extracted object is quantitatively measured based on the intensity distributions of the segmented foreground and background. The visibility is quantitatively measured by calculating the Jeffries-Matusita distance between the foreground and background intensity distributions. This method can be used to evaluate segmentation of vessels in fluoroscopic image sequences by coronary digital subtraction angiography (DSA).
摘要翻译：公开了一种用于评估图像分割的方法和系统。为了定量评估图像分割技术，生成合成图像数据，并且使用分割技术对合成图像数据进行分割以提取对象。该分割导致包含提取的对象和背景的前景。基于分割的前景和背景的强度分布，定量地测量提取的对象的可视性。通过计算前景和背景强度分布之间的Jeffries-Matusita距离来定量测量可见度。该方法可用于通过冠状动脉数字减影血管造影（DSA）评估荧光镜图像序列中血管的分割。

7. 发明授权

US08094903B2 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：US08094903B2
公开(公告)日：2012-01-10
申请号：US12157837
申请日：2008-06-13
申请人： Ying Zhu , Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Dorin Comaniciu
发明人： Ying Zhu , Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Dorin Comaniciu
IPC分类号： G06K9/03
CPC分类号： A61B6/504 , A61B6/481 , G06T5/50 , G06T7/215 , G06T7/30 , G06T2207/10016 , G06T2207/10121 , G06T2207/30048 , 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, vessel regions are detected in the contrast image using learning-based vessel segment detection and a background region of the contrast image is determined based on the detected vessel regions. Background motion is estimated between one of the mask images and the background region of the contrast image, and the mask image is warped based on the estimated background motion to generate an estimated background layer. The 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。对于每个对比图像，使用基于学习的血管段检测在对比图像中检测血管区域，并且基于检测到的血管区域确定造影剂图像的背景区域。在掩模图像之一和对比度图像的背景区域之间估计背景运动，并且基于所估计的背景运动来对掩模图像进行翘曲以生成估计的背景层。从对比图像中减去估计的背景层，以提取对比度图像的冠状血管层。

8. 发明申请

US20090010512A1 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：US20090010512A1
公开(公告)日：2009-01-08
申请号：US12157837
申请日：2008-06-13
申请人： Ying Zhu , Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Dorin Comaniciu
发明人： Ying Zhu , Wei Zhang , Adrian Barbu , Simone Prummer , Martin Ostermeier , Dorin Comaniciu
IPC分类号： H05G1/64 , G06K9/00
CPC分类号： A61B6/504 , A61B6/481 , G06T5/50 , G06T7/215 , G06T7/30 , G06T2207/10016 , G06T2207/10121 , G06T2207/30048 , 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, vessel regions are detected in the contrast image using learning-based vessel segment detection and a background region of the contrast image is determined based on the detected vessel regions. Background motion is estimated between one of the mask images and the background region of the contrast image, and the mask image is warped based on the estimated background motion to generate an estimated background layer. The 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。对于每个对比图像，使用基于学习的血管段检测在对比图像中检测血管区域，并且基于检测到的血管区域确定造影剂图像的背景区域。在掩模图像之一和对比度图像的背景区域之间估计背景运动，并且基于所估计的背景运动来对掩模图像进行翘曲以生成估计的背景层。从对比图像中减去估计的背景层，以提取对比度图像的冠状血管层。

9. 发明申请

US20080275335A1 Methods and apparatus for virtual coronary mapping 有权
标题翻译：虚拟冠状动脉成像的方法和装置
公开(公告)号：US20080275335A1
公开(公告)日：2008-11-06
申请号：US12150816
申请日：2008-05-01
申请人： Wei Zhang , Ying Zhu , Adrian Barbu , Richard Socher , Stefan Bohm , Peter Durlak , Dorin Comaniciu
发明人： Wei Zhang , Ying Zhu , Adrian Barbu , Richard Socher , Stefan Bohm , Peter Durlak , Dorin Comaniciu
IPC分类号： A61B5/05 , G06K9/00
CPC分类号： G06K9/3216 , A61B6/12 , A61B6/481 , A61B6/504 , G06K2009/00932 , G06K2209/05 , G06T7/12 , G06T2207/20044 , G06T2207/30101 , G06T2207/30172
摘要： A virtual map of vessels of interest in medical procedures, such as coronary angioplasty is created so that doses of contrasting agent given to a patient may be reduced. A position of a coronary guidewire is determined and locations of vessel boundaries are found. When the contrast agent has dissipated, virtual maps of the vessels are created as new images. The locations of the determined vessel boundaries are imported to a mapping system and an image obtained without using a contrast agent is modified based on the imported locations of vessel boundaries. This creates a virtual map of the vessels.
摘要翻译：创建医疗程序感兴趣的血管的虚拟地图，例如冠状动脉血管成形术，以便减少给予患者的剂量的造影剂。确定冠状导丝的位置并找到血管边界的位置。当造影剂消散时，血管的虚拟地图被创建为新的图像。确定的容器边界的位置被导入到映射系统，并且基于导入的容器边界的位置来修改不使用造影剂获得的图像。这将创建一个血管的虚拟地图。

10. 发明申请

US20080071711A1 Method and System for Object Detection Using Probabilistic Boosting Cascade Tree 审中-公开
标题翻译：使用概率提升级联树的对象检测方法和系统
公开(公告)号：US20080071711A1
公开(公告)日：2008-03-20
申请号：US11856109
申请日：2007-09-17
申请人： Wei Zhang , Adrian Barbu , Yefeng Zheng , Dorin Comaniciu
发明人： Wei Zhang , Adrian Barbu , Yefeng Zheng , Dorin Comaniciu
IPC分类号： G06F15/18
CPC分类号： G06N7/005 , G06K9/6257 , G06K2209/053
摘要： A method and system for object detection using a probabilistic boosting cascade tree (PBCT) is disclosed. A PBCT is a machine learning based classifier having a structure that is driven by training data and determined during the training process without user input. In a PBCT training method, for each node in the PBCT, a classifier is trained for the node based on training data received at the node. The performance of the classifier trained for the node is then evaluated based on the training data. Based on the performance of the classifier, the node is set to either a cascade node or a tree node. If the performance indicates that the data is relatively easy to classify, the node can be set as a cascade node. If the performance indicates that the data is relatively difficult to classify, the node can be set as a tree node. The trained PBCT can then be used to detect objects or classify data. For example, a trained PBCT can be used to detect lymph nodes in CT volume data.
摘要翻译：公开了一种使用概率升压级联树（PBCT）进行物体检测的方法和系统。 PBCT是基于机器学习的分类器，其具有由训练数据驱动的结构，并且在训练过程中确定而不需要用户输入。在PBCT训练方法中，对于PBCT中的每个节点，基于在节点处接收到的训练数据，为节点训练分类器。然后根据训练数据对针对节点训练的分类器的性能进行评估。基于分类器的性能，将节点设置为级联节点或树节点。如果性能指示数据相对容易分类，则可以将节点设置为级联节点。如果性能指示数据相对较难分类，则可以将节点设置为树节点。然后，训练有素的PBCT可用于检测对象或对数据进行分类。例如，训练有素的PBCT可用于检测CT体积数据中的淋巴结。

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