Evaluation of cone-beam computed tomography diagnostic image quality using cluster signal-to-noise analysis
Evaluation of cone-beam computed tomography diagnostic image quality using cluster signal-to-noise analysis
复制标题
使用簇信噪分析评估锥形束计算机断层扫描诊断图像质量
DOI：
10.1007/s11282-018-0325-0
复制
发表时间：
2018
期刊：
影响因子：
2.2
通讯作者：
Yoshiura Kazunori
中科院分区：
文献类型：
--
作者：
Weerawanich Warangkana;Shimizu Mayumi;Takeshita Yohei;Okamura Kazutoshi;Yoshida Shoko;Jasa Gainer R.;Yoshiura Kazunori
目的(1)在相同的暴露条件下，我们试图从一组信噪比曲线中评估四个具有代表性的参数(对应于背景噪声的真阳性率[TPR]、对应于背景噪声的准确度、最大TPR和最大准确度)之间的相关性，以及使用先前研究中的观察者的数据来识别下颌管的诊断准确性。方法利用ImageJ的FindFoci插件对穿孔深度从0.7 mm减小到0.1 mm的Teflon平板体模的CBCT图像进行分析。随后，我们通过绘制TPR与假阳性率的关系图来构建聚类信噪比曲线。通过与观察者计算的诊断准确率进行比较，评估了这四个参数。为了分析与下颌管检测相关的图像对比度范围，我们确定了5个孔深范围，分别代表0.1~0.7、0.1~0.5、0.2~0.6、0.2~0.7和0.3~0.7 mm的对比度范围，并与观察者的诊断准确率进行比较。在下颌管清晰和不清晰的下颌骨中，0.3~0.7 mm和0.1~0.7 mm的孔深与观察者的诊断准确率相关性最高。结论从簇信噪比曲线得到的背景噪声对应的准确度可以用来评估暴露条件对诊断准确率的影响。
Objectives(1) We sought to assess correlation among four representative parameters from a cluster signal-to-noise curve (true-positive rate [TPR] corresponding to background noise, accuracy corresponding to background noise, maximum TPR, and maximum accuracy) and the diagnostic accuracy of the identification of the mandibular canal using data from observers in a previous study, under the same exposure conditions. (2) We sought to clarify the relationship between the hole depths of a phantom and diagnostic accuracy.MethodsCBCT images of a Teflon plate phantom with holes of decreasing depths from 0.7 to 0.1 mm were analyzed using the FindFoci plugin of ImageJ. Subsequently, we constructed cluster signal-to-noise curves by plotting TPRs against false-positive rates. The four parameters were assessed by comparing with the diagnostic accuracy calculated from the observers. To analyze image contrast ranges related to detection of mandibular canals, we determined five ranges of hole depths, to represent different contrast ranges—0.1–0.7, 0.1–0.5, 0.2–0.6, 0.2–0.7 and 0.3–0.7 mm—and compared them with observers’ diagnostic accuracy.ResultsAmong the four representative parameters, accuracy corresponding to background noise had the highest correlation with the observers’ diagnostic accuracy. Hole depths of 0.3–0.7 and 0.1–0.7 mm had the highest correlation with observers’ diagnostic accuracy in mandibles with distinct and indistinct mandibular canals, respectively.ConclusionsThe accuracy corresponding to background noise obtained from the cluster signal-to-noise curve can be used to evaluate the effects of exposure conditions on diagnostic accuracy.