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System and Method for Automated Detection of Mucus Plugs Within Bronchial Tree in MSCT Images

机译:自动检测MSCT图像中支气管树内粘液栓的系统和方法

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.
机译:一种用于检测和定位数字化肺图像中的粘液栓的方法,包括提供数字化的肺图像体积,其包括对应于点的三维网格的多个强度,从所述肺图像中提取支气管树,所述支气管树包括多个分支气道终止于端点的过程,提供气道二维横截面的模型,选择在所述气道分支方向上超出气道分支终点的延伸点,获得二维横截面I从所述肺图像中关于所述选定点的大小为m×n个点,通过计算横截面中每个点的局部邻域函数并形成所有局部邻域函数的并集,并计算处理后的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粘液塞的存在。

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