TY - JOUR
T1 - Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam ct
AU - Takeshita, Yohei
AU - Shimizu, Mayumi
AU - Jasa, Gainer R.
AU - Weerawanich, Warangkana
AU - Okamura, Kazutoshi
AU - Yoshida, Shoko
AU - Tokumori, Kenji
AU - Asaumi, Junichi
AU - Yoshiura, Kazunori
N1 - Funding Information:
This work was supported by JSPS KAKENHI grant number 15K11074.
Publisher Copyright:
© 2018 The Authors. Published by the British Institute of Radiology.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
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U2 - 10.1259/dmfr.20170369
DO - 10.1259/dmfr.20170369
M3 - Article
C2 - 29376745
AN - SCOPUS:85046115665
SN - 0250-832X
VL - 47
JO - Dentomaxillofacial Radiology
JF - Dentomaxillofacial Radiology
IS - 4
M1 - 20170369
ER -