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一种无需观察者即可定量评估锥形束计算机断层扫描(CBCT)图像质量的新方法。

A new method to evaluate image quality of CBCT images quantitatively without observers.

作者信息

Takeshita Yohei, Shimizu Mayumi, Okamura Kazutoshi, Yoshida Shoko, Weerawanich Warangkana, Tokumori Kenji, Jasa Gainer R, Yoshiura Kazunori

机构信息

1 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.

2 Department of Oral and Maxillofacial Radiology, Kyushu University Hospital, Fukuoka, Japan.

出版信息

Dentomaxillofac Radiol. 2017 Mar;46(3):20160331. doi: 10.1259/dmfr.20160331. Epub 2017 Feb 17.

Abstract

OBJECTIVES

To develop an observer-free method for quantitatively evaluating the image quality of CBCT images by applying just-noticeable difference (JND).

METHODS

We used two test objects: (1) a Teflon (polytetrafluoroethylene) plate phantom attached to a dry human mandible; and (2) a block phantom consisting of a Teflon step phantom and an aluminium step phantom. These phantoms had holes with different depths. They were immersed in water and scanned with a CB MercuRay (Hitachi Medical Corporation, Tokyo, Japan) at tube voltages of 120 kV, 100 kV, 80 kV and 60 kV. Superimposed images of the phantoms with holes were used for evaluation. The number of detectable holes was used as an index of image quality. In detecting holes quantitatively, the threshold grey value (ΔG), which differentiated holes from the background, was calculated using a specific threshold (the JND), and we extracted the holes with grey values above ΔG. The indices obtained by this quantitative method (the extracted hole values) were compared with the observer evaluations (the observed hole values). In addition, the contrast-to-noise ratio (CNR) of the shallowest detectable holes and the deepest undetectable holes were measured to evaluate the contribution of CNR to detectability.

RESULTS

The results of this evaluation method corresponded almost exactly with the evaluations made by observers. The extracted hole values reflected the influence of different tube voltages. All extracted holes had an area with a CNR of ≥1.5.

CONCLUSIONS

This quantitative method of evaluating CBCT image quality may be more useful and less time-consuming than evaluation by observation.

摘要

目的

通过应用恰可察觉差异(JND)开发一种无需观察者的方法来定量评估锥束计算机断层扫描(CBCT)图像的质量。

方法

我们使用了两个测试对象:(1)附着在干燥人类下颌骨上的聚四氟乙烯板体模;(2)由聚四氟乙烯阶梯体模和铝阶梯体模组成的块状体模。这些体模有不同深度的孔。将它们浸入水中,并用CB MercuRay(日本东京日立医疗株式会社)在120 kV、100 kV、80 kV和60 kV的管电压下进行扫描。带有孔的体模的叠加图像用于评估。可检测到的孔的数量用作图像质量指标。在定量检测孔时,使用特定阈值(JND)计算将孔与背景区分开的阈值灰度值(ΔG),并提取灰度值高于ΔG的孔。将通过这种定量方法获得的指标(提取的孔值)与观察者评估(观察到的孔值)进行比较。此外,测量最浅可检测孔和最深不可检测孔的对比度噪声比(CNR),以评估CNR对可检测性的贡献。

结果

这种评估方法的结果与观察者的评估几乎完全一致。提取的孔值反映了不同管电压的影响。所有提取的孔都有一个CNR≥1.5的区域。

结论

这种评估CBCT图像质量的定量方法可能比通过观察进行评估更有用且耗时更少。

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