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1. 发明授权

US08358819B2 System and methods for image segmentation in N-dimensional space 有权
标题翻译： N维空间图像分割的系统和方法
公开(公告)号：US08358819B2
公开(公告)日：2013-01-22
申请号：US12001066
申请日：2007-12-07
申请人： Xiaodong Wu , Mona Garvin , Michael David Abramoff , Milan Sonka
发明人： Xiaodong Wu , Mona Garvin , Michael David Abramoff , Milan Sonka
IPC分类号： G06K9/00 , G06K9/34 , G06K9/62
CPC分类号： G06K9/4638 , G06K9/469 , G06K9/6224 , G06T7/0012 , G06T7/11 , G06T7/149 , G06T7/162 , G06T2207/10076 , G06T2207/10081 , G06T2207/10101 , G06T2207/20161 , G06T2207/30041 , G06T2207/30048 , G06T2207/30101
摘要： A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The graph search applications use objective functions that incorporate non-uniform cost terms such as “on-surface” costs as well as “in-region” costs.
摘要翻译：提供了一种用于在体数据集中表示对象边界的全局最优表面的有效分割的系统和方法。提供了一种光学表面检测系统和方法，其能够同时检测多个相互作用的表面，其中最优性由为各个表面设计的成本函数以及限定表面平滑度和相互关系的若干几何约束来控制。图形搜索应用程序使用包含不均匀成本条件的目标函数，如地面成本以及区域内成本。

2. 发明申请

US20080317308A1 System and methods for image segmentation in N-dimensional space 有权
标题翻译： N维空间图像分割的系统和方法
公开(公告)号：US20080317308A1
公开(公告)日：2008-12-25
申请号：US12001066
申请日：2007-12-07
申请人： Xiaodong Wu , Mona Garvin , Michael David Abramoff , Milan Sonka
发明人： Xiaodong Wu , Mona Garvin , Michael David Abramoff , Milan Sonka
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , G06K9/469 , G06K9/6224 , G06T7/0012 , G06T7/11 , G06T7/149 , G06T7/162 , G06T2207/10076 , G06T2207/10081 , G06T2207/10101 , G06T2207/20161 , G06T2207/30041 , G06T2207/30048 , G06T2207/30101
摘要： A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The graph search applications use objective functions that incorporate non-uniform cost terms such as “on-surface” costs as well as “in-region” costs.
摘要翻译：提供了一种用于在体数据集中表示对象边界的全局最优表面的有效分割的系统和方法。提供了一种光学表面检测系统和方法，其能够同时检测多个相互作用的表面，其中最优性由为各个表面设计的成本函数以及限定表面平滑度和相互关系的若干几何约束来控制。图形搜索应用程序使用包含不均匀成本术语的目标函数，例如“在地面”成本以及“区域内”成本。

3. 发明申请

US20090136103A1 System and methods for image segmentation in N-dimensional space 有权
标题翻译： N维空间图像分割的系统和方法
公开(公告)号：US20090136103A1
公开(公告)日：2009-05-28
申请号：US12291803
申请日：2008-11-13
申请人： Milan Sonka , Xiaodong Wu , Yin Yin , Xiangmin Zhang
发明人： Milan Sonka , Xiaodong Wu , Yin Yin , Xiangmin Zhang
IPC分类号： G06K9/34 , G06K9/00
CPC分类号： G06K9/4638 , G06K9/6224 , G06T7/11 , G06T7/12 , G06T2207/10072 , G06T2207/30048 , G06T2207/30101
摘要： A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The present invention includes surface segmentation using a layered graph-theoretic approach that optimally segments multiple interacting surfaces of a single object using a pre-segmentation step, after which the segmentation of all desired surfaces of the object are performed simultaneously in a single optimization process.
摘要翻译：提供了一种用于在体数据集中表示对象边界的全局最优表面的有效分割的系统和方法。提供了一种光学表面检测系统和方法，其能够同时检测多个相互作用的表面，其中最优性由为各个表面设计的成本函数以及限定表面平滑度和相互关系的若干几何约束来控制。本发明包括使用分层图理论方法的表面分割，其使用预分割步骤最佳地分割单个对象的多个交互表面，之后在单个优化过程中同时执行对象的所有期望表面的分割。

4. 发明授权

US07995810B2 System and methods for image segmentation in n-dimensional space 有权
标题翻译：在n维空间中图像分割的系统和方法
公开(公告)号：US07995810B2
公开(公告)日：2011-08-09
申请号：US11474070
申请日：2006-06-23
申请人： Kang Li , Xiaodong Wu , Danny Z. Chen , Milan Sonka
发明人： Kang Li , Xiaodong Wu , Danny Z. Chen , Milan Sonka
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , G06K9/6224 , G06T7/12 , G06T7/162 , G06T2207/10072 , G06T2207/20044 , G06T2207/30101
摘要： A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations.
摘要翻译：提供了一种用于在体数据集中表示对象边界的全局最优表面的有效分割的系统和方法。提供了一种光学表面检测系统和方法，其能够同时检测多个相互作用的表面，其中最优性由为各个表面设计的成本函数以及限定表面平滑度和相互关系的若干几何约束来控制。

5. 发明申请

US20070058865A1 System and methods for image segmentation in n-dimensional space 有权
标题翻译：在n维空间中图像分割的系统和方法
公开(公告)号：US20070058865A1
公开(公告)日：2007-03-15
申请号：US11474070
申请日：2006-06-23
申请人： Kang Li , Xiaodong Wu , Danny Chen , Milan Sonka
发明人： Kang Li , Xiaodong Wu , Danny Chen , Milan Sonka
IPC分类号： G06K9/34 , G06K9/62
CPC分类号： G06K9/4638 , G06K9/6224 , G06T7/12 , G06T7/162 , G06T2207/10072 , G06T2207/20044 , G06T2207/30101
摘要： A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations.
摘要翻译：提供了一种用于在体数据集中表示对象边界的全局最优表面的有效分割的系统和方法。提供了一种光学表面检测系统和方法，其能够同时检测多个相互作用的表面，其中最优性由为各个表面设计的成本函数以及限定表面平滑度和相互关系的若干几何约束来控制。

6. 发明授权

US08571278B2 System and methods for multi-object multi-surface segmentation 有权
标题翻译：多目标多表面分割的系统和方法
公开(公告)号：US08571278B2
公开(公告)日：2013-10-29
申请号：US12291803
申请日：2008-11-13
申请人： Milan Sonka , Xiaodong Wu , Yin Yin , Xiangmin Zhang
发明人： Milan Sonka , Xiaodong Wu , Yin Yin , Xiangmin Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , G06K9/6224 , G06T7/11 , G06T7/12 , G06T2207/10072 , G06T2207/30048 , G06T2207/30101
摘要： A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The present invention includes surface segmentation using a layered graph-theoretic approach that optimally segments multiple interacting surfaces of a single object using a pre-segmentation step, after which the segmentation of all desired surfaces of the object are performed simultaneously in a single optimization process.
摘要翻译：提供了一种用于在体数据集中表示对象边界的全局最优表面的有效分割的系统和方法。提供了一种光学表面检测系统和方法，其能够同时检测多个相互作用的表面，其中最优性由为各个表面设计的成本函数以及限定表面平滑度和相互关系的若干几何约束来控制。本发明包括使用分层图理论方法的表面分割，其使用预分割步骤最佳地分割单个对象的多个交互表面，之后在单个优化过程中同时执行对象的所有期望表面的分割。

7. 发明授权

US11638522B2 Automated determination of arteriovenous ratio in images of blood vessels 有权
公开(公告)号：US11638522B2
公开(公告)日：2023-05-02
申请号：US15936162
申请日：2018-03-26
申请人： Michael D. Abramoff , Meindert Niemeijer , Xiayu Xu , Milan Sonka , Joseph M. Reinhardt
发明人： Michael D. Abramoff , Meindert Niemeijer , Xiayu Xu , Milan Sonka , Joseph M. Reinhardt
IPC分类号： A61B3/12 , A61B3/00
摘要： The methods and systems provided can automatically determine an Arteriolar-to-Venular diameter Ratio, AVR, in blood vessels, such as retinal blood vessels and other blood vessels in vertebrates. The AVR is an important predictor of increases in the risk for stroke, cerebral atrophy, cognitive decline, and myocardial infarct.

8. 发明申请

US20190059718A1 AUTOMATED DETERMINATION OF ARTERIOVENOUS RATIO IN IMAGES OF BLOOD VESSELS 审中-公开
公开(公告)号：US20190059718A1
公开(公告)日：2019-02-28
申请号：US15936162
申请日：2018-03-26
申请人： Michael D. Abramoff , Meindert Niemeijer , Xiayu Xu , Milan Sonka , Joseph M. Reinhardt
发明人： Michael D. Abramoff , Meindert Niemeijer , Xiayu Xu , Milan Sonka , Joseph M. Reinhardt
IPC分类号： A61B3/12 , A61B3/00
摘要： The methods and systems provided can automatically determine an Arteriolar-to-Venular diameter Ratio, AVR, in blood vessels, such as retinal blood vessels and other blood vessels in vertebrates. The AVR is an important predictor of increases in the risk for stroke, cerebral atrophy, cognitive decline, and myocardial infarct.

9. 发明申请

US20060030958A1 Methods and devices for labeling and/or matching 有权
公开(公告)号：US20060030958A1
公开(公告)日：2006-02-09
申请号：US11122974
申请日：2005-05-05
申请人： Juerg Tschirren , Milan Sonka , Joseph Reinhardt , Geoffrey McLennan , Eric Hoffman
发明人： Juerg Tschirren , Milan Sonka , Joseph Reinhardt , Geoffrey McLennan , Eric Hoffman
IPC分类号： G06F17/00
CPC分类号： A61B5/00 , A61B5/0033 , A61B5/08 , G06F19/00 , G06K9/469 , G06K9/6892 , G06K2209/05 , G06K2209/053 , G06K2209/055 , G06T19/00 , G16H50/50
摘要： Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

10. 发明授权

US06466687B1 Method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology 失效
标题翻译：用于分析CT图像以确定肺组织病理学存在的方法和装置
公开(公告)号：US06466687B1
公开(公告)日：2002-10-15
申请号：US09022093
申请日：1998-02-11
申请人： Renuka Uppaluri , Theophano Mitsa , Eric A. Hoffman , Geoffrey McLennan , Milan Sonka
发明人： Renuka Uppaluri , Theophano Mitsa , Eric A. Hoffman , Geoffrey McLennan , Milan Sonka
IPC分类号： G06K900
CPC分类号： G06T7/0012
摘要： A method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology, such as in emphysema, IPF, sarcoid, etc. In accordance with one embodiment, a CT slice is selected to perform an automated, objective, and quantitative analysis of the slice. Initially, an image processing stage is performed, which includes segmentation and edgementation of the selected CT slice for preparation of a series of objective, quantitative measures to be performed on the slice. A region of interest (ROI) is selected on the CT slice in which these objective, quatitative measures are to be taken. The first set of objective, quantitative measures are first order texture measures that describe a frequency of occurrence of all gray levels assigned to pixels within the ROI of the image slice. The second set of objective, quantitative measures are second order texture measures that characterize the spatial interdependencies between particular pixels of the ROI. Fractal analysis could also be performed to provide additional objective, quantitative measures of the ROI. The ROI is classified to a particular tissue pathology class based upon an optimal subset of first or second order texture measures and fractal measures obtained. A color-coded output is displayed for visual presentation to a user indicating the different tissue pathology classes assigned to different regions of the CT slice.
摘要翻译：用于分析CT图像以确定肺组织病理学的存在的方法和装置，例如在肺气肿，IPF，结节样等中。根据一个实施例，选择CT切片以执行自动化，客观和定量分析切片。最初，执行图像处理阶段，其包括所选择的CT切片的分割和分割，以准备在切片上执行的一系列客观的定量测量。在CT切片上选择感兴趣区域（ROI），在这些切片中将采用这些客观的定量测量方法。第一组客观量化措施是描述分配给图像切片ROI内的像素的所有灰度级发生频率的一阶纹理度量。第二组客观的量化措施是表征ROI的特定像素之间的空间相互依赖性的二阶纹理度量。还可以进行分形分析，以提供投资回报率的额外目标，定量测量。基于获得的一阶或二阶纹理测量和分形测量的最佳子集，将ROI归类为特定的组织病理学类别。显示颜色编码的输出，用于向用户呈现指示分配给CT切片的不同区域的不同组织病理学类别的用户。

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