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。

公开(公告)号：US08121367B2

公开(公告)日：2012-02-21

申请号：US12229663

申请日：2008-08-26

申请人： Richard Socher ,  Adrian Barbu ,  Bogdan Georgescu ,  Wei Zhang ,  Peter Durlak ,  Stefan Böhm ,  Dorin Comaniciu

发明人： Richard Socher ,  Adrian Barbu ,  Bogdan Georgescu ,  Wei Zhang ,  Peter Durlak ,  Stefan Böhm ,  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。

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。

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。

公开(公告)号：US20100121181A1

公开(公告)日：2010-05-13

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。

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。

公开(公告)号：US07970191B2

公开(公告)日：2011-06-28

申请号：US11860591

申请日：2007-09-25

申请人： Bogdan Georgescu ,  Peter Durlak ,  Vassilis Athitsos ,  Adrian Barbu ,  Dorin Comaniciu

发明人： Bogdan Georgescu ,  Peter Durlak ,  Vassilis Athitsos ,  Adrian Barbu ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  G06K9/40

CPC分类号： G06T5/003 ,  G06T5/20 ,  G06T7/74 ,  G06T2207/10121 ,  G06T2207/20016 ,  G06T2207/30021

摘要： A method for downsampling fluoroscopic images and enhancing guidewire visibility during coronary angioplasty includes providing a first digitized image, filtering the image with one or more steerable filters of different angular orientations, assigning a weight W and orientation O for each pixel based on the filter response for each pixel, wherein each pixel weight is assigned to a function of a maximum filter response magnitude and the pixel orientation is calculated from the angle producing the maximum filter response if the magnitude is greater than zero, wherein guidewire pixels have a higher weight than non-guidewire pixels, and downsampling the orientation and weights to calculate a second image of half the resolution of the first image, wherein the downsampling accounts for the orientation and higher weight assigned to the guidewire pixels.

摘要翻译： 用于在冠状动脉血管成形术期间对荧光透视图像进行下采样并增强导丝线可视性的方法包括提供第一数字化图像，用一个或多个不同角取向的可转向滤光片过滤图像，基于滤波器响应为每个像素分配权重W和取向O 每个像素，其中每个像素权重被分配给最大滤波器响应幅度的函数，并且如果幅度大于零，则从产生最大滤波器响应的角度计算像素取向，其中导丝像素具有比非最大滤波器响应幅度更大的权重， 引导线像素，以及对取向和权重进行下采样以计算第一图像的分辨率的一半的第二图像，其中下采样考虑分配给导丝像素的取向和较高权重。

公开(公告)号：US08050482B2

公开(公告)日：2011-11-01

申请号：US11860588

申请日：2007-09-25

申请人： Adrian Barbu ,  Vassilis Athitsos ,  Bogdan Georgescu ,  Peter Durlak ,  Dorin Comaniciu

发明人： Adrian Barbu ,  Vassilis Athitsos ,  Bogdan Georgescu ,  Peter Durlak ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： A61B6/12 ,  G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T2207/10121 ,  G06T2207/30021 ,  G06T2207/30048 ,  G06T2207/30101

摘要： A method for online optimization of guidewire visibility in fluoroscopic images includes providing an digitized image acquired from a fluoroscopic imaging system, the image comprising an array of intensities corresponding to a 2-dimensional grid of pixels, detecting a guidewire in the fluoroscopic image, enhancing the visibility of the guidewire in the fluoroscopic image, calculating a visibility measure of the guidewire in the fluoroscopic image, and readjusting acquisition parameters of the fluoroscopic imaging system wherein the guidewire visibility is improved.

摘要翻译： 一种用于在荧光镜图像中在线优化导丝可视性的方法包括提供从荧光成像系统获取的数字化图像，所述图像包括对应于像素的二维网格的强度阵列，检测透视图像中的导丝，增强 在透视图像中的导丝的可视性，计算透视图像中的导丝的可见度测量，以及重新调整荧光镜成像系统的获取参数，其中导丝可视性得到改善。

公开(公告)号：US20080080754A1

公开(公告)日：2008-04-03

申请号：US11860588

申请日：2007-09-25

申请人： Adrian Barbu ,  Vassilis Athitsos ,  Bogdan Georgescu ,  Peter Durlak ,  Dorin Comaniciu

发明人： Adrian Barbu ,  Vassilis Athitsos ,  Bogdan Georgescu ,  Peter Durlak ,  Dorin Comaniciu

IPC分类号： G06K9/60 ,  A61M29/02

CPC分类号： A61B6/12 ,  G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T2207/10121 ,  G06T2207/30021 ,  G06T2207/30048 ,  G06T2207/30101

摘要： A method for online optimization of guidewire visibility in fluoroscopic images includes providing an digitized image acquired from a fluoroscopic imaging system, the image comprising an array of intensities corresponding to a 2-dimensional grid of pixels, detecting a guidewire in the fluoroscopic image, enhancing the visibility of the guidewire in the fluoroscopic image, calculating a visibility measure of the guidewire in the fluoroscopic image, and readjusting acquisition parameters of the fluoroscopic imaging system wherein the guidewire visibility is improved.

摘要翻译： 一种用于在荧光镜图像中在线优化导丝可视性的方法包括提供从荧光成像系统获取的数字化图像，所述图像包括对应于像素的二维网格的强度阵列，检测透视图像中的导丝，增强 在透视图像中的导丝的可视性，计算透视图像中的导丝的可见度测量，以及重新调整荧光镜成像系统的获取参数，其中导丝可视性得到改善。

公开(公告)号：US07792342B2

公开(公告)日：2010-09-07

申请号：US11675678

申请日：2007-02-16

申请人： Adrian Barbu ,  Vassilis Athitsos ,  Bogdan Georgescu ,  Peter Durlak ,  Stefan Boehm ,  Dorin Comaniciu

发明人： Adrian Barbu ,  Vassilis Athitsos ,  Bogdan Georgescu ,  Peter Durlak ,  Stefan Boehm ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： A61B6/12 ,  G06K9/48 ,  G06K2209/057

摘要： A system and method for populating a database with a set of image sequences of an object is disclosed. The database is used to detect localization of a guidewire in the object. A set of images of anatomical structures is received in which each image is annotated to show a guidewire, catheter, wire tip and stent. For each given image a Probabilistic Boosting Tree (PBT) is used to detect short line segments of constant length in the image. Two segment curves are constructed from the short line segments. A discriminative joint shape and appearance model is used to classify each two segment curve. A shape of an n-segment curve is constructed by concatenating all the two segment curves. A guidewire curve model is identified that includes a start point, end point and the n-segment curve. The guidewire curve model is stored in the database.

摘要翻译： 公开了一种使用一组对象的图像序列填充数据库的系统和方法。 数据库用于检测对象中导丝的定位。 接收一组解剖结构的图像，其中每个图像被注释以示出导丝，导管，线尖和支架。 对于每个给定的图像，使用概率增强树（PBT）来检测图像中恒定长度的短线段。 从短线段构建两段曲线。 使用歧视关节形状和外观模型对每个两段曲线进行分类。 通过连接所有两个段曲线构建n段曲线的形状。 识别出导线曲线模型，其包括起始点，终点和n段曲线。 导丝曲线模型存储在数据库中。