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1. 发明授权

US09020235B2 Systems and methods for viewing and analyzing anatomical structures 有权
标题翻译：用于观察和分析解剖结构的系统和方法
公开(公告)号：US09020235B2
公开(公告)日：2015-04-28
申请号：US13363753
申请日：2012-02-01
申请人： Arun Krishnan , Marcos Salganicoff , Xiang Sean Zhou , Venkat Raghavan Ramamurthy , Luca Bogoni , Gerardo Hermosillo Valadez
发明人： Arun Krishnan , Marcos Salganicoff , Xiang Sean Zhou , Venkat Raghavan Ramamurthy , Luca Bogoni , Gerardo Hermosillo Valadez
IPC分类号： G06K9/00 , A61B6/00 , A61B6/03 , G06F19/00 , G06T7/00 , A61B5/055 , A61B5/00
CPC分类号： A61B6/5217 , A61B5/055 , A61B5/4504 , A61B5/726 , A61B5/7425 , A61B5/743 , A61B5/7485 , A61B6/032 , A61B6/469 , A61B6/505 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T2207/10116
摘要： Systems and methods for supporting a diagnostic workflow from a computer system are disclosed herein. In accordance with one implementation, a set of pre-identified anatomical landmarks associated with one or more structures of interest within one or more medical images are presented to a user. In response to a user input selecting at least one or more regions of interest including one or more of the pre-identified anatomical landmarks, the user is automatically navigated to the selected region of interest. In another implementation, a second user input selecting one or more measurement tools is received. An evaluation may be automatically determined based on one or more of the set of anatomical landmarks in response to the second user input.
摘要翻译：本文公开了用于从计算机系统支持诊断工作流程的系统和方法。根据一个实施方案，向用户呈现与一个或多个医学图像内的一个或多个感兴趣结构相关联的一组预先识别的解剖学标记。响应于用户输入选择至少一个或多个感兴趣区域，包括预先识别的解剖标志中的一个或多个，用户被自动导航到所选择的感兴趣区域。在另一实现中，接收选择一个或多个测量工具的第二用户输入。响应于第二用户输入，可以基于该组解剖标志中的一个或多个来自动确定评估。

2. 发明申请

US20120172700A1 Systems and Methods for Viewing and Analyzing Anatomical Structures 有权
标题翻译：观察和分析解剖结构的系统和方法
公开(公告)号：US20120172700A1
公开(公告)日：2012-07-05
申请号：US13363753
申请日：2012-02-01
申请人： Arun Krishnan , Marcos Salganicoff , Xiang Sean Zhou , Venkat Raghavan Ramamurthy , Luca Bogoni , Gerardo Hermosillo Valadez
发明人： Arun Krishnan , Marcos Salganicoff , Xiang Sean Zhou , Venkat Raghavan Ramamurthy , Luca Bogoni , Gerardo Hermosillo Valadez
IPC分类号： A61B6/00 , G09G5/00
CPC分类号： A61B6/5217 , A61B5/055 , A61B5/4504 , A61B5/726 , A61B5/7425 , A61B5/743 , A61B5/7485 , A61B6/032 , A61B6/469 , A61B6/505 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T2207/10116
摘要： Systems and methods for supporting a diagnostic workflow from a computer system are disclosed herein. In accordance with one implementation, a set of pre-identified anatomical landmarks associated with one or more structures of interest within one or more medical images are presented to a user. In response to a user input selecting at least one or more regions of interest including one or more of the pre-identified anatomical landmarks, the user is automatically navigated to the selected region of interest. In another implementation, a second user input selecting one or more measurement tools is received. An evaluation may be automatically determined based on one or more of the set of anatomical landmarks in response to the second user input.
摘要翻译：本文公开了用于从计算机系统支持诊断工作流程的系统和方法。根据一个实施方案，向用户呈现与一个或多个医学图像内的一个或多个感兴趣结构相关联的一组预先识别的解剖学标记。响应于用户输入选择至少一个或多个感兴趣区域，包括预先识别的解剖标志中的一个或多个，用户被自动导航到所选择的感兴趣区域。在另一实现中，接收选择一个或多个测量工具的第二用户输入。响应于第二用户输入，可以基于该组解剖标志中的一个或多个来自动确定评估。

3. 发明授权

US09460510B2 Synchronized navigation of medical images 有权
标题翻译：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。

4. 发明申请

US20140294263A1 Synchronized Navigation of Medical Images 有权
标题翻译：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。

5. 发明授权

US08437521B2 Systems and methods for automatic vertebra edge detection, segmentation and identification in 3D imaging 有权
标题翻译： 3D成像中自动椎骨边缘检测，分割和识别的系统和方法
公开(公告)号：US08437521B2
公开(公告)日：2013-05-07
申请号：US12879434
申请日：2010-09-10
申请人： Le Lu , Jun Ma , Marcos Salganicoff , Yiqiang Zhan , Xiang Sean Zhou
发明人： Le Lu , Jun Ma , Marcos Salganicoff , Yiqiang Zhan , Xiang Sean Zhou
IPC分类号： G06K9/00
CPC分类号： G06T7/12 , G06T7/344 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/10132 , G06T2207/20124 , G06T2207/20164 , G06T2207/30012
摘要： Systems and methods for automatic accurate and efficient segmentation and identification of one or more vertebra in digital medical images using a coarse-to-fine segmentation.
摘要翻译：用于使用粗到细分割来自动精确和有效地分割和识别数字医学图像中的一个或多个椎骨的系统和方法。

6. 发明申请

US20110058720A1 Systems and Methods for Automatic Vertebra Edge Detection, Segmentation and Identification in 3D Imaging 有权
标题翻译： 3D成像中自动椎体边缘检测，分割和识别的系统和方法
公开(公告)号：US20110058720A1
公开(公告)日：2011-03-10
申请号：US12879434
申请日：2010-09-10
申请人： Le Lu , Jun Ma , Marcos Salganicoff , Yiqiang Zhan , Xiang Sean Zhou
发明人： Le Lu , Jun Ma , Marcos Salganicoff , Yiqiang Zhan , Xiang Sean Zhou
IPC分类号： G06K9/34
CPC分类号： G06T7/12 , G06T7/344 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/10132 , G06T2207/20124 , G06T2207/20164 , G06T2207/30012
摘要： Systems and methods for automatic accurate and efficient segmentation and identification of one or more vertebra in digital medical images using a coarse-to-fine segmentation.
摘要翻译：用于使用粗到细分割来自动精确和有效地分割和识别数字医学图像中的一个或多个椎骨的系统和方法。

7. 发明申请

US20090080747A1 User interface for polyp annotation, segmentation, and measurement in 3D computed tomography colonography 有权
标题翻译：用于三维计算机断层扫描结构中息肉注解，分割和测量的用户界面
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。

8. 发明申请

US20090074272A1 Method and system for polyp segmentation for 3D computed tomography colonography 有权
标题翻译：用于3D计算机断层扫描结构的息肉分割方法和系统
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。

9. 发明授权

US08184888B2 Method and system for polyp segmentation for 3D computed tomography colonography 有权
标题翻译：用于3D计算机断层扫描结构的息肉分割方法和系统
公开(公告)号：US08184888B2
公开(公告)日：2012-05-22
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： G06K9/46
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。

10. 发明授权

US08126244B2 User interface for polyp annotation, segmentation, and measurement in 3D computed tomography colonography 有权
标题翻译：用于三维计算机断层扫描结构中息肉注解，分割和测量的用户界面
公开(公告)号：US08126244B2
公开(公告)日：2012-02-28
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： G06K9/34
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。

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