Yocky D A, Seeley G W, Ovitt T W, Roehrig H, Dallas W J
Optical Sciences Center, University of Arizona, Tucson 85724.
Invest Radiol. 1990 Aug;25(8):902-7. doi: 10.1097/00004424-199008000-00006.
Computer simulations of lung nodules overcome many shortcomings of creating radiographs using anthropomorphic nodule phantoms for lung nodule detection studies, but these algorithms can be cumbersome and involved. A simple, fast, and flexible computer program to simulate lung nodules in digital chest radiographs for detection studies is reported. To verify the realism of the simulated nodules, a psychophysical study and a statistical study were conducted. In the psychophysical study, six radiologists and four nonradiologists were asked to distinguish between 17 real lung nodules and 17 computer-simulated lung nodules shown in eight radiographs. The results show that the computer-simulated lung nodules are indistinguishable visually from real lung nodules. Using parameters from the Rose model of vision, results show that the simulated and real nodules are the same statistically. Thus, besides visual validity, statistical analysis in confirming the validity of the simulated lung nodules is included.
肺结节的计算机模拟克服了在肺结节检测研究中使用拟人化结节模型创建X光片的许多缺点，但这些算法可能既繁琐又复杂。本文报道了一个简单、快速且灵活的计算机程序，用于在数字胸部X光片中模拟肺结节以进行检测研究。为了验证模拟结节的真实性，进行了一项心理物理学研究和一项统计学研究。在心理物理学研究中，六名放射科医生和四名非放射科医生被要求区分八张X光片中显示的17个真实肺结节和17个计算机模拟肺结节。结果表明，计算机模拟的肺结节在视觉上与真实肺结节无法区分。利用视觉的罗斯模型中的参数，结果表明模拟结节和真实结节在统计学上是相同的。因此，除了视觉有效性外，还纳入了用于确认模拟肺结节有效性的统计分析。
