公开(公告)号：US20070058870A1

公开(公告)日：2007-03-15

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： G06K9/46 ,  G06K9/34

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。

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。

公开(公告)号：US20060209063A1

公开(公告)日：2006-09-21

申请号：US11247609

申请日：2005-10-11

申请人： Jianming Liang ,  Matthias Wolf ,  Marcos Salganicoff

发明人： Jianming Liang ,  Matthias Wolf ,  Marcos Salganicoff

IPC分类号： G06T15/00

CPC分类号： G06K9/342 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/155 ,  G06T2207/10081 ,  G06T2207/20152 ,  G06T2207/30032 ,  G06T2207/30064 ,  G06T2207/30101

摘要： An exemplary method of detecting one or more objects in image data is provided. The image data includes a plurality of pixels/voxels. The method includes sliding pixels/voxels that meet sliding criteria; and collecting the slid pixels/voxels that satisfy collecting criteria. An exemplary method of segmenting an object in image data is also provided. The method includes receiving an initial pixel/voxel in the image data; and forming a segmentation of the object based on the initial pixel/voxel.

摘要翻译： 提供了检测图像数据中的一个或多个对象的示例性方法。 图像数据包括多个像素/体素。 该方法包括符合滑动标准的滑动像素/体元; 并收集满足收集标准的滑动像素/体素。 还提供了分割图像数据中的对象的示例性方法。 该方法包括在图像数据中接收初始像素/体元; 并基于初始像素/体元形成对象的分割。

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。

公开(公告)号：US20090074272A1

公开(公告)日：2009-03-19

申请号：US12231772

申请日：2008-09-05

申请人： Le Lu ,  Adrian Barbu ,  Matthias Wolf ,  Sarang Lakare ,  Luca Bogoni ,  Marcos Salganicoff ,  Dorin Comaniciu

发明人： Le Lu ,  Adrian Barbu ,  Matthias Wolf ,  Sarang Lakare ,  Luca Bogoni ,  Marcos Salganicoff ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30032

摘要： A method and system for polyp segmentation in computed tomography colonogrphy (CTC) volumes is disclosed. The polyp segmentation method utilizes a three-staged probabilistic binary classification approach for automatically segmenting polyp voxels from surrounding tissue in CTC volumes. Based on an input initial polyp position, a polyp tip is detected in a CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary.

摘要翻译： 公开了一种计算机断层扫描（CTC）体积中息肉分割的方法和系统。 息肉分割方法采用三阶段概率二分类方法，自动分割CTC体积周围组织的息肉体素。 基于输入的初始息肉位置，使用训练有素的3D点检测器在CTC体积中检测息肉末端。 然后将局部极坐标系拟合到CTC体积中的结肠表面，其中原点在检测到的息肉末端。 使用训练有素的3D框，在局部极坐标系的每个轴上检测Polyp内部体素和息肉外部体素。 基于检测到的息肉内部体素和息肉外部体素，通过使用训练有素的分类器进行升压1D曲线解析，在局部极坐标系的每个轴上检测边界体素。 这导致分段息肉边界。

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。

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。

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。

公开(公告)号：US20090080747A1

公开(公告)日：2009-03-26

申请号：US12231771

申请日：2008-09-05

申请人： Le Lu ,  Adrian Barbu ,  Matthias Wolf ,  Sarang Lakare ,  Luca Bogoni ,  Marcos Salganicoff ,  Dorin Comaniciu

发明人： Le Lu ,  Adrian Barbu ,  Matthias Wolf ,  Sarang Lakare ,  Luca Bogoni ,  Marcos Salganicoff ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G16H40/63 ,  G06F19/00 ,  G06T7/0012 ,  G06T7/12 ,  G06T2200/24 ,  G06T2207/10072 ,  G06T2207/20092 ,  G06T2207/30032

摘要： A method and system for providing a user interface for polyp annotation, segmentation, and measurement in computer tomography colonography (CTC) volumes is disclosed. The interface receives an initial polyp position in a CTC volume, and automatically segments the polyp based on the initial polyp position. In order to segment the polyp, a polyp tip is detected in the CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary. The segmented polyp is displayed in the user interface, and a user can modify the segmented polyp boundary using the interface. The interface can measure the size of the segmented polyp in three dimensions. The user can also use the interface for polyp annotation in CTC volumes.

摘要翻译： 公开了一种用于在计算机断层造影（CTC）体积中提供用于息肉注释，分割和测量的用户界面的方法和系统。 界面在CTC体积中接收初始息肉位置，并根据初始息肉位置自动分段息肉。 为了分割息肉，使用训练有素的3D点检测器在CTC体积中检测息肉末端。 然后将局部极坐标系拟合到CTC体积中的结肠表面，其中原点在检测到的息肉末端。 使用训练有素的3D框，在局部极坐标系的每个轴上检测Polyp内部体素和息肉外部体素。 基于检测到的息肉内部体素和息肉外部体素，通过使用训练有素的分类器进行升压1D曲线解析，在局部极坐标系的每个轴上检测边界体素。 这导致分段息肉边界。 分段息肉显示在用户界面中，用户可以使用界面修改分段息肉边界。 界面可以在三维中测量分段息肉的大小。 用户还可以在CTC卷中使用界面进行息肉注释。

公开(公告)号：US20090016589A1

公开(公告)日：2009-01-15

申请号：US12169781

申请日：2008-07-09

申请人： Matthias Wolf ,  Marcos Salganicoff

发明人： Matthias Wolf ,  Marcos Salganicoff

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06K2209/053 ,  G06T7/12 ,  G06T7/181 ,  G06T2207/10081 ,  G06T2207/30032

摘要： A method for performing computer-assisted diagnosis includes receiving a plurality of two-dimensional views of an internal structure, defining a search space around one or more areas of analysis within each view of the internal structure, calculating a convex hull for each area of analysis within each search space of each view of the internal structure, determining a set of foreground pixels that are located within the convex hull for each area of analysis within each search space within each view of the internal structure, and for each area of analysis, merging the set of foreground pixels that are located within the convex hull from each view.

摘要翻译： 一种用于执行计算机辅助诊断的方法包括接收内部结构的多个二维视图，在内部结构的每个视图内围绕一个或多个分析区域定义搜索空间，为每个分析区域计算凸包 在内部结构的每个视图的每个搜索空间内，为内部结构的每个视图内的每个搜索空间内的每个分析区域确定位于凸包内的一组前景像素，并且对于每个分析区域，合并 从每个视图位于凸包中的前景像素集合。