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1. 发明申请

US20080101675A1 System and Method for Automated Detection of Mucus Plugs Within Bronchial Tree in MSCT Images 有权
标题翻译：在MSCT图像中自动检测支气管树内粘液塞的系统和方法
公开(公告)号：US20080101675A1
公开(公告)日：2008-05-01
申请号：US11836966
申请日：2007-08-10
申请人： Diran Guiliguian , Benjamin Odry , Atilla Kiraly
发明人： Diran Guiliguian , Benjamin Odry , Atilla Kiraly
IPC分类号： A61B5/00
CPC分类号： A61B5/08 , A61B6/50 , G06T7/0012 , G06T2207/10081 , G06T2207/30061
摘要： A method for detecting and localizing mucus plugs in digitized lung images, includes providing a digitized lung image volume comprising a plurality of intensities corresponding to a 3-dimensional grid of points, extracting a bronchial tree from said lung image, said bronchial tree comprising a plurality of branching airways terminating at terminal points, providing a model of a 2-dimensional cross section of an airway, selecting an extended point beyond a terminal point of an airway branch in a direction of said airway branch, obtaining a 2-dimensional cross section I of size m×n points from said lung image about said selected point, processing said 2D cross section I by calculating a local neighborhood function for each point in the cross section and forming a union of all local neighborhood functions, and calculating a correlation between processed 2D cross section and said airway model, wherein said correlation is indicative of the presence of a mucus plug within said airway.
摘要翻译：一种用于检测和定位数字化肺图像中的粘液塞的方法，包括提供数字化肺图像体积，其包括对应于三维网格点的多个强度，从所述肺图像提取支气管树，所述支气管树包括多个在终点处终止的分支气道，提供气道的二维截面的模型，在所述气道支路的方向上选择超出气道支路的终点的延伸点，获得二维横截面I 从关于所述选择点的所述肺图像的大小mxn的点，通过计算横截面中的每个点的局部邻域函数并且形成所有局部邻域函数的并集，并且计算处理的2D交叉之间的相关性来处理所述2D横截面I. 截面和所述气道模型，其中所述相关性指示所述气道内存在粘液塞。

2. 发明授权

US07929741B2 System and method for automated detection of mucus plugs within bronchial tree in MSCT images 有权
标题翻译：用于自动检测MSCT图像中支气管树内粘液塞的系统和方法
公开(公告)号：US07929741B2
公开(公告)日：2011-04-19
申请号：US11836966
申请日：2007-08-10
申请人： Diran Guiliguian , Benjamin Odry , Atilla Peter Kiraly
发明人： Diran Guiliguian , Benjamin Odry , Atilla Peter Kiraly
IPC分类号： G06K9/00
CPC分类号： A61B5/08 , A61B6/50 , G06T7/0012 , G06T2207/10081 , G06T2207/30061
摘要： A method for detecting and localizing mucus plugs in digitized lung images, includes providing a digitized lung image volume comprising a plurality of intensities corresponding to a 3-dimensional grid of points, extracting a bronchial tree from said lung image, said bronchial tree comprising a plurality of branching airways terminating at terminal points, providing a model of a 2-dimensional cross section of an airway, selecting an extended point beyond a terminal point of an airway branch in a direction of said airway branch, obtaining a 2-dimensional cross section I of size m×n points from said lung image about said selected point, processing said 2D cross section I by calculating a local neighborhood function for each point in the cross section and forming a union of all local neighborhood functions, and calculating a correlation between processed 2D cross section and said airway model, wherein said correlation is indicative of the presence of a mucus plug within said airway.
摘要翻译：一种用于检测和定位数字化肺图像中的粘液塞的方法，包括提供数字化肺图像体积，其包括对应于三维网格点的多个强度，从所述肺图像提取支气管树，所述支气管树包括多个在终点处终止的分支气道，提供气道的二维截面的模型，在所述气道支路的方向上选择超出气道支路的终点的延伸点，获得二维截面I 从所述肺图像的尺寸m×n的点到所述选择点，通过计算横截面中的每个点的局部邻域函数并且形成所有局部邻域函数的并集，并且计算处理的所述二维横截面I之间的相关性 2D横截面和所述气道模型，其中所述相关性指示所述气道内存在粘液塞。

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