Boedeker Kirsten L, McNitt-Gray Michael F, Rogers Sarah R, Truong Dao A, Brown Matthew S, Gjertson David W, Goldin Jonathan G
Department of Radiology, David Geffen School of Medicine, University of California at Los Angeles, 10833 Le Conte Ave, CHS B3-227U, Box 951721, Los Angeles, CA 90095-1721, USA.
Radiology. 2004 Jul;232(1):295-301. doi: 10.1148/radiol.2321030383.
In the current study, the effects of reconstruction algorithms on quantitative measures derived from computed tomographic (CT) lung images were assessed in patients with emphysema. CT image data sets were reconstructed with a standard algorithm and alternative algorithm(s) for 42 subjects. Algorithms were grouped as overenhancing, sharp, standard, or smooth. Density mask and volume measurements from the alternative algorithm data sets were compared with standard algorithm data sets. The overenhancing category yielded an average shift of 9.4% (ie, a shift in average score from 35.5% to 44.9%); the sharp category, a shift of 2.4%; and the smooth category, a shift of -1.0%. Differences in total lung volume measurements were less than 1%. In conclusion, the CT reconstruction algorithm may strongly affect density mask results, especially for certain reconstruction algorithms.
在本研究中，对肺气肿患者评估了重建算法对源自计算机断层扫描（CT）肺部图像的定量测量的影响。对42名受试者的CT图像数据集使用标准算法和替代算法进行重建。算法分为过度增强、锐利、标准或平滑四类。将替代算法数据集的密度掩码和体积测量结果与标准算法数据集进行比较。过度增强类别产生了9.4%的平均偏移（即平均分数从35.5%变为44.9%）；锐利类别为2.4%的偏移；平滑类别为-1.0%的偏移。全肺体积测量的差异小于1%。总之，CT重建算法可能会强烈影响密度掩码结果，尤其是对于某些重建算法。
