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

机译:CT扫描中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:已开发出一种用于评估和显示低剂量螺旋CT扫描中气肿分布的新方法。自动化系统可分割肺体积,并根据肺内切片位置来估计肺气肿的程度。从我们的肺癌筛查程序中随机选择了八十个低剂量(120 kVp,40 mA)高分辨率(2.5毫米切片厚度)CT扫描。每次扫描均进行了3次肺气肿评估:传统方法是对四个预选CT切片的肺气肿程度进行平均,确定肺气肿的总体积百分比,并根据滑动将肺气肿负担作为切片位置的函数以图形方式显示窗口算法。传统的四层估计显示出与总体积百分比的高度相关性(0.98),但提供的空间信息有限。在肺气肿总体百分比较高的病例中,用新方法定量的肺内分布比不那么严重的病例或正常人更偏斜。对肺气肿的空间分布进行分析和显示可以评估每个肺区域内的肺气肿负担,这对于量化肺气肿的类型和疾病随时间的进展可能很有用。

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