System and method for detecting and tracking a guidewire in a fluoroscopic image sequence
    1.
    发明授权
    System and method for detecting and tracking a guidewire in a fluoroscopic image sequence 有权
    用于在透视图像序列中检测和跟踪导丝的系统和方法

    公开(公告)号:US07792342B2

    公开(公告)日:2010-09-07

    申请号:US11675678

    申请日:2007-02-16

    IPC分类号: G06K9/00

    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。

    System and Method For Detecting and Tracking A Guidewire In A Fluoroscopic Image Sequence
    2.
    发明申请
    System and Method For Detecting and Tracking A Guidewire In A Fluoroscopic Image Sequence 有权
    用于检测和跟踪荧光透视图像序列中的导丝的系统和方法

    公开(公告)号:US20070270692A1

    公开(公告)日:2007-11-22

    申请号:US11675678

    申请日:2007-02-16

    IPC分类号: A61B6/00

    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。

    System and method for simultaneously subsampling fluoroscopic images and enhancing guidewire visibility
    3.
    发明授权
    System and method for simultaneously subsampling fluoroscopic images and enhancing guidewire visibility 失效
    同时对透视图像进行二次采样并提高导丝可视性的系统和方法

    公开(公告)号:US07970191B2

    公开(公告)日:2011-06-28

    申请号:US11860591

    申请日:2007-09-25

    IPC分类号: G06K9/00 G06K9/40

    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。

    System and Method For Simultaneously Subsampling Fluoroscopic Images and Enhancing Guidewire Visibility
    6.
    发明申请
    System and Method For Simultaneously Subsampling Fluoroscopic Images and Enhancing Guidewire Visibility 失效
    同时采样荧光图像和提高导丝可视性的系统和方法

    公开(公告)号:US20080107314A1

    公开(公告)日:2008-05-08

    申请号:US11860591

    申请日:2007-09-25

    IPC分类号: G06K9/00 G06K9/40

    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。

    Method and system for generating a four-chamber heart model
    9.
    发明申请
    Method and system for generating a four-chamber heart model 有权
    用于产生四室心脏模型的方法和系统

    公开(公告)号:US20080262814A1

    公开(公告)日:2008-10-23

    申请号:US12082143

    申请日:2008-04-09

    IPC分类号: G06G7/60

    摘要: A method and system for building a statistical four-chamber heart model from 3D volumes is disclosed. In order to generate the four-chamber heart model, each chamber is modeled using an open mesh, with holes at the valves. Based on the image data in one or more 3D volumes, meshes are generated and edited for the left ventricle (LV), left atrium (LA), right ventricle (RV), and right atrium (RA). Resampling to enforce point correspondence is performed during mesh editing. Important anatomic landmarks in the heart are explicitly represented in the four-chamber heart model of the present invention.

    摘要翻译: 公开了一种用于从3D体积构建统计四室心脏模型的方法和系统。 为了产生四腔心脏模型,每个腔室都使用开放的网格进行建模,在阀门处有孔。 基于一个或多个3D体积中的图像数据,为左心室(LV),左心房(LA),右心室(RV)和右心房(RA)生成并编辑网格。 在网格编辑期间执行重新采样以强制点对应。 在本发明的四腔心脏模型中明确地表示心脏中的重要解剖学标志。

    System and method for detecting an object in a high dimensional space
    10.
    发明授权
    System and method for detecting an object in a high dimensional space 有权
    用于检测高维空间中的对象的系统和方法

    公开(公告)号:US08009900B2

    公开(公告)日:2011-08-30

    申请号:US11856208

    申请日:2007-09-17

    IPC分类号: G06K9/00 G06K9/62

    CPC分类号: G06K9/6292

    摘要: A system and method for detecting an object in a high dimensional image space is disclosed. A three dimensional image of an object is received. A first classifier is trained in the marginal space of the object center location which generates a predetermined number of candidate object center locations. A second classifier is trained to identify potential object center locations and orientations from the predetermined number of candidate object center locations and maintaining a subset of the candidate object center locations. A third classifier is trained to identify potential locations, orientations and scale of the object center from the subset of the candidate object center locations. A single candidate object pose for the object is identified.

    摘要翻译: 公开了一种用于检测高维图像空间中的对象的系统和方法。 接收对象的三维图像。 在对象中心位置的边缘空间中训练第一分类器,其生成预定数量的候选对象中心位置。 训练第二分类器以从预定数量的候选对象中心位置识别潜在对象中心位置和方向,并维护候选对象中心位置的子集。 训练第三分类器以从候选对象中心位置的子集中识别对象中心的潜在位置,方向和尺度。 识别对象的单个候选对象姿势。