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Method for analysis and display of distribution of emphysema in CT scans

机译:CT扫描中肺气肿分布的分析和显示方法

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A novel method for the assessment and display of the distribution of emphysema in low-dose helical CT scans has been developed. The automated system segments the lung volume and estimates the degree of emphysema as a function of slice position within the lung. Eighty low-dose (120 kVp, 40 mA) high-resolution (2.5 mm slice thickness) CT scans were randomly selected from our lung cancer screening program. Three emphysema assessments were performed on each scan: the traditional method of averaging the degree of emphysema on four pre-selected CT slices, the total volumetric percentage of emphysema, and a graphical display of emphysema burden as a function of slice position based on a sliding window algorithm. The traditional four-slice estimates showed a high correlation (0.98) with the total volumetric percentages, yet provided limited spatial information. In those cases with a higher overall percentage of emphysema, the distribution within the lung as quantified by the new method was more skewed than that of less severe cases or normals. Analysis and display of the spatial distribution of emphysema allows for assessment of emphysema burden within each lung zone, which may be useful for quantitating the type of emphysema and the progression of disease over time.
机译:已经开发出一种新的低剂量螺旋CT扫描中肺气肿分布的评估和显示的新方法。自动化系统区段肺部体积并估计肺气肿的肺气肿程度。从我们的肺癌筛查计划中随机选择八十个低剂量(120 kVp,40 mA)高分辨率(2.5mm切片厚度)CT扫描。每次扫描进行三种肺气肿评估:传统的方法在四个预选的CT片上平均肺气肿,肺气肿总量百分比,以及作为基于滑动的切片位置的函数的肺气肿负担的图形显示窗口算法。传统的四个切片估计显示出高相关(0.98),总体积百分比,但空间信息提供了有限的空间信息。在那些具有较高百分比的肺气肿百分比的情况下,通过新方法量化的肺内的分布比不太严重的病例或法线更偏向。肺气肿空间分布的分析和显示允许评估每个肺区内的肺气肿负担,这可能用于定量肺气肿的类型和随时间的疾病的进展。

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