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    Synchronized navigation of medical images
    1.
    发明授权
    Synchronized navigation of medical images 有权
    医学图像同步导航

    公开(公告)号：US09460510B2

    公开(公告)日：2016-10-04

    申请号：US13853174

    申请日：2013-03-29

    申请人： Gerardo Hermosillo Valadez ,  Marcos Salganicoff ,  Matthias Wolf ,  Xiang Sean Zhou ,  Yiqiang Zhan

    发明人： Gerardo Hermosillo Valadez ,  Marcos Salganicoff ,  Matthias Wolf ,  Xiang Sean Zhou ,  Yiqiang Zhan

    IPC分类号： G06K9/00 ,  G06T7/00

    CPC分类号： G06T7/0028 ,  G06T7/33 ,  G06T2207/30004

    摘要： Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location. While the user performs navigational operations on the first medical image, the framework repeatedly receives the selection of the given location, determines the target location using the non-linear mapping, and generates the optimized deformation-free view of the second medical image based at least in part on the target location.

    摘要翻译： 这里公开了一种促进同步图像导航的框架。 根据一个方面，至少接收第一和第二医学图像。 产生第一和第二医学图像之间的非线性映射。 响应于用户的导航操作接收对第一医疗图像中的给定位置的选择。 在不使第二医用图像变形的情况下，通过使用非线性映射来确定第二医用图像中的目标位置。 目标位置对应于第一医疗图像中的给定位置。 至少部分地基于目标位置产生第二医疗图像的优化的无变形视图。 当用户在第一医学图像上执行导航操作时，框架重复地接收对给定位置的选择，使用非线性映射确定目标位置，并且至少基于第二医学图像生成优化的无变形视图 部分在目标位置。

    Synchronized Navigation of Medical Images
    2.
    发明申请
    Synchronized Navigation of Medical Images 有权
    医学图像同步导航

    公开(公告)号：US20140294263A1

    公开(公告)日：2014-10-02

    申请号：US13853174

    申请日：2013-03-29

    申请人： Gerardo Hermosillo Valadez ,  Marcos Salganicoff ,  Matthias Wolf ,  Xiang Sean Zhou ,  Yiqiang Zhan

    发明人： Gerardo Hermosillo Valadez ,  Marcos Salganicoff ,  Matthias Wolf ,  Xiang Sean Zhou ,  Yiqiang Zhan

    IPC分类号： G06T7/00

    CPC分类号： G06T7/0028 ,  G06T7/33 ,  G06T2207/30004

    摘要： Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location. While the user performs navigational operations on the first medical image, the framework repeatedly receives the selection of the given location, determines the target location using the non-linear mapping, and generates the optimized deformation-free view of the second medical image based at least in part on the target location.

    摘要翻译： 这里公开了一种促进同步图像导航的框架。 根据一个方面，至少接收第一和第二医学图像。 产生第一和第二医学图像之间的非线性映射。 响应于用户的导航操作接收对第一医疗图像中的给定位置的选择。 在不使第二医用图像变形的情况下，通过使用非线性映射来确定第二医用图像中的目标位置。 目标位置对应于第一医疗图像中的给定位置。 至少部分地基于目标位置产生第二医疗图像的优化的无变形视图。 当用户在第一医学图像上执行导航操作时，框架重复地接收对给定位置的选择，使用非线性映射确定目标位置，并且至少基于第二医学图像生成优化的无变形视图 部分在目标位置。

    Matching of regions of interest across multiple views
    7.
    发明授权
    Matching of regions of interest across multiple views 有权
    在多个视图中匹配感兴趣的区域

    公开(公告)号：US08885898B2

    公开(公告)日：2014-11-11

    申请号：US13267095

    申请日：2011-10-06

    申请人： Meizhu Liu ,  Le Lu ,  Vikas C. Raykar ,  Marcos Salganicoff ,  Matthias Wolf

    发明人： Meizhu Liu ,  Le Lu ,  Vikas C. Raykar ,  Marcos Salganicoff ,  Matthias Wolf

    IPC分类号： G06K9/00 ,  G06T7/00 ,  G06K9/62 ,  A61B6/03 ,  A61B8/13

    CPC分类号： G06K9/6215 ,  A61B6/032 ,  A61B6/037 ,  A61B8/13 ,  G06T7/0014 ,  G06T7/30 ,  G06T2207/10072 ,  G06T2207/20081 ,  G06T2207/30032

    摘要： Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.

    摘要翻译： 这里描述了用于图像中感兴趣区域的多视图匹配的框架。 根据一个方面，处理器接收第一和第二数字化图像，以及对应于第一图像中检测到的感兴趣区域的至少一个CAD查找。 处理器确定与第一图像中的CAD查找匹配的第二图像中的至少一个候选位置。 基于为CAD查找和候选位置提取的本地外观特征执行匹配。 根据另一方面，处理器接收代表一个或多个感兴趣区域的至少第一和第二视图的数字化的训练图像。 基于训练图像执行特征选择，以选择相关局部外观特征的子集来表示第一和第二视图中的实例。 然后基于局部外观特征的子集来学习距离度量。 距离度量可以用于执行感兴趣区域的匹配。

    Reducing false positives for automatic computerized detection of objects
    8.
    发明授权
    Reducing false positives for automatic computerized detection of objects 有权
    减少自动计算机检测物体的误报

    公开(公告)号：US08160336B2

    公开(公告)日：2012-04-17

    申请号：US11516213

    申请日：2006-09-06

    申请人： Jianming Liang ,  Zhiyun Xue ,  Marcos Salganicoff ,  Matthias Wolf

    发明人： Jianming Liang ,  Zhiyun Xue ,  Marcos Salganicoff ,  Matthias Wolf

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012

    摘要： A computer-implemented method for identifying an object of interest includes providing input data including an image and a candidate for the object of interest in the image, extracting a boundary of the candidate, and extracting a segment of a region of interest containing the candidate. The method further includes determining a plurality of features of an extracted segment of the region of interest containing the candidate, and outputting the object of interest, wherein the object of interest is characterized by the plurality of features, wherein the object of interest and the plurality of features are stored as computer-readable code.

    摘要翻译： 用于识别感兴趣对象的计算机实现的方法包括提供包括图像中的图像和感兴趣对象的候选者的输入数据，提取候选者的边界，以及提取包含候选的感兴趣区域的片段。 该方法还包括确定包含该候选者的所述感兴趣区域的提取段的多个特征，并输出所述感兴趣对象，其中所述感兴趣对象由所述多个特征表征，其中所述感兴趣对象和所述多个特征 功能存储为计算机可读代码。

    Matching of Regions of Interest Across Multiple Views
    9.
    发明申请
    Matching of Regions of Interest Across Multiple Views 有权
    多个意见区域的匹配

    公开(公告)号：US20120088981A1

    公开(公告)日：2012-04-12

    申请号：US13267095

    申请日：2011-10-06

    申请人： Meizhu Liu ,  Le Lu ,  Vikas C. Raykar ,  Marcos Salganicoff ,  Matthias Wolf

    发明人： Meizhu Liu ,  Le Lu ,  Vikas C. Raykar ,  Marcos Salganicoff ,  Matthias Wolf

    IPC分类号： A61B5/00 ,  G06K9/00

    CPC分类号： G06K9/6215 ,  A61B6/032 ,  A61B6/037 ,  A61B8/13 ,  G06T7/0014 ,  G06T7/30 ,  G06T2207/10072 ,  G06T2207/20081 ,  G06T2207/30032

    摘要： Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.

    摘要翻译： 这里描述了用于图像中感兴趣区域的多视图匹配的框架。 根据一个方面，处理器接收第一和第二数字化图像，以及对应于第一图像中检测到的感兴趣区域的至少一个CAD查找。 处理器确定与第一图像中的CAD查找匹配的第二图像中的至少一个候选位置。 基于为CAD查找和候选位置提取的本地外观特征执行匹配。 根据另一方面，处理器接收代表一个或多个感兴趣区域的至少第一和第二视图的数字化的训练图像。 基于训练图像执行特征选择，以选择相关局部外观特征的子集来表示第一和第二视图中的实例。 然后基于局部外观特征的子集来学习距离度量。 距离度量可以用于执行感兴趣区域的匹配。