Relationship between image information content and observer performance in digital intraoral radiography

Shinya Takarabe, Kazutoshi Okamura, Taku Kuramoto, Kenji Tokumori, Toyoyuki Kato, Kazunori Yoshiura

研究成果: ジャーナルへの寄稿学術誌査読


Objectives: This study conducted a receiver operating characteristic (ROC) analysis by applying improved cluster signal-to-noise (CSN) analysis to digital intraoral radiographs and develop an observer-free method of analyzing image quality related to the observer performance in the detection task. Methods: Two aluminum step phantoms with a thickness interval of 1.0 mm were used for this study. One phantom had holes of increasing depth (from 0.05 to 0.35 mm) and the other had no holes. Phantom images were obtained under various exposure dose and image capture modes using a dental X-ray unit, a photostimulable phosphor imaging plate, and scanner system. These phantom images were analyzed using the FindFoci plugin in ImageJ software. Subsequently, true positive rates (TPRs) and false positive rates (FPRs) were calculated by analyzing phantom images with and without holes. We constructed ROC curves by plotting the TPRs against the FPRs and calculated the area under the ROC curve (AUC). Using the same phantom images with holes, eight observers assessed the number of detectable holes. Correlations between observer detection performance and AUC values were evaluated. Results: AUC values increased as the exposure dose increased and showed different tendencies depending on the image capture mode. The AUC values showed a high correlation with observer detection performance (r = 0.76). Conclusions: AUC values obtained from CSN analysis reflect image quality and replace the observer detection performance test of image quality.

ジャーナルOral Radiology
出版ステータス印刷中 - 2022

!!!All Science Journal Classification (ASJC) codes

  • 歯科学(その他)
  • 放射線学、核医学およびイメージング


「Relationship between image information content and observer performance in digital intraoral radiography」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。