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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number20170369
JournalDentomaxillofacial Radiology
Volume47
Issue number4
DOIs
Publication statusPublished - 2018

Keywords

  • Computer-assisted
  • Cone beam CT
  • Dental
  • Dental
  • Digital radiography
  • Image analysis
  • Imaging
  • Phantoms
  • Radiography

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Radiology Nuclear Medicine and imaging
  • Dentistry(all)

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