利用锥形束 CT 进行定量图像质量评估预测下颌管的可探测性。
Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam CT.
机构信息
1 Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences , Okayama , Japan.
2 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University , Fukuoka , Japan.
出版信息
Dentomaxillofac Radiol. 2018 May;47(4):20170369. doi: 10.1259/dmfr.20170369. Epub 2018 Feb 13.
OBJECTIVES
To compare the results of a new quantitative image quality evaluation method that requires no observers with the results of receiver operating characteristic (ROC) analysis in detecting the mandibular canal (MC) in cone beam CT (CBCT) images.
METHODS
A Teflon (polytetrafluoroethylene) plate phantom with holes of different depths was scanned with two CBCT systems. One CBCT system was equipped with an image intensifier (Experiment 1), and the other was equipped with a flat panel detector (Experiment 2). Holes that were above the threshold gray value (ΔG), calculated using just-noticeable difference (JND), were extracted. The number of extracted holes was used as the index of the image quality, and was compared with the Az values calculated by ROC analysis to detect the MC.
RESULTS
The number of extracted holes reflected the influence of different scanning conditions, and showed a strong correlation with the Az values calculated by ROC analysis. Indices of the number of extracted holes corresponding to high Az values for detecting the MC were obtained in both experiments.
CONCLUSIONS
Our image quality evaluation method applying JND to images of a standardized phantom is a quantitative method that could be useful for evaluating the detectability of the MC in CBCT images.
目的
比较一种新的无需观察者的定量图像质量评估方法与接收者操作特性（ROC）分析在检测锥形束 CT（CBCT）图像中下颌管（MC）的结果。
方法
使用两个 CBCT 系统对具有不同深度孔的聚四氟乙烯（PTFE）板体模进行扫描。一个 CBCT 系统配备有影像增强器（实验 1），另一个配备有平板探测器（实验 2）。提取超过用 just-noticeable difference（JND）计算出的阈值灰度值（ΔG）的孔。提取的孔数用作图像质量的指标，并与 ROC 分析计算出的 Az 值进行比较，以检测 MC。
结果
提取的孔数反映了不同扫描条件的影响，与 ROC 分析计算出的 Az 值具有很强的相关性。在两个实验中都获得了对应于检测 MC 的高 Az 值的提取孔数的指标。
结论
我们应用 JND 对标准化体模图像进行的图像质量评估方法是一种定量方法，可用于评估 CBCT 图像中 MC 的可检测性。
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