Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam ct

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

研究成果: ジャーナルへの寄稿学術誌査読

3 被引用数 (Scopus)

抄録

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.

本文言語英語
論文番号20170369
ジャーナルDentomaxillofacial Radiology
47
4
DOI
出版ステータス出版済み - 2018

!!!All Science Journal Classification (ASJC) codes

  • 耳鼻咽喉科学
  • 放射線学、核医学およびイメージング
  • 歯科学(全般)

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