SEMIAUTOMATIC EVALUATION PROCEDURES FOR QUANTITATIVE CT OF THE LUNG
SEMIAUTOMATIC EVALUATION PROCEDURES FOR QUANTITATIVE CT OF THE LUNG
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DOI：
10.1097/00004728-199103000-00011
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发表时间：
1991-03-01
影响因子：
1.3
通讯作者：
SKALEJ, M
中科院分区：
文献类型：
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作者：
KALENDER, WA;FICHTE, H;SKALEJ, M
准确性、可重复性和客观性在通过CT定量评估肺密度和结构中是重要的，并且测量必须在严格控制的条件下进行。因此，我们在定义的吸气水平下采用呼吸门控进行CT扫描。在评估过程中，我们发现，对于相对简单的全球肺密度估计任务，操作员引起的误差为2-6 HU标准差;在区域评估中，它们经常超过10 HU。因此，我们开发了半自动评估算法，通过快速轮廓跟踪隔离肺实质，并通过收缩、径向分割和前后细分左肺和右肺来定义子区域。提取全局和区域平均密度值和直方图参数。根据我们的临床研究，我们估计，在合作的患者中，肺部定量CT的总体精度可以达到5%以上。
Accuracy, reproducibility, and objectivity are important in quantitative assessment of lung density and structure by CT, and the measurement has to be carried out under tightly controlled conditions. We therefore employ respiratory gating at defined levels of inspiration for CT scanning. In the evaluation process, we found operator-induced errors of 2-6 HU standard deviation for the relatively simple task of global lung density estimates; in regional evaluations, they frequently exceeded 10 HU. We therefore developed semi-automated evaluation algorithms that isolate lung parenchyma by fast contour tracking and define subregions by shrinking, radial segmenting, and anteroposterior subdividing of the left and the right lung. Global and regional mean density values and histogram parameters were extracted. Based on our clinical studies, we estimate that an overall precision of better than 5% can be achieved in quantitative CT of the lung with cooperative patients.