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Evaluation of cone-beam computed tomography diagnostic image quality using cluster signal-to-noise analysis

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Oral Radiology Aims and scope Submit manuscript

Abstract

Objectives

(1) We sought to assess correlation among four representative parameters from a cluster signal-to-noise curve (true-positive rate [TPR] corresponding to background noise, accuracy corresponding to background noise, maximum TPR, and maximum accuracy) and the diagnostic accuracy of the identification of the mandibular canal using data from observers in a previous study, under the same exposure conditions. (2) We sought to clarify the relationship between the hole depths of a phantom and diagnostic accuracy.

Methods

CBCT images of a Teflon plate phantom with holes of decreasing depths from 0.7 to 0.1 mm were analyzed using the FindFoci plugin of ImageJ. Subsequently, we constructed cluster signal-to-noise curves by plotting TPRs against false-positive rates. The four parameters were assessed by comparing with the diagnostic accuracy calculated from the observers. To analyze image contrast ranges related to detection of mandibular canals, we determined five ranges of hole depths, to represent different contrast ranges—0.1–0.7, 0.1–0.5, 0.2–0.6, 0.2–0.7 and 0.3–0.7 mm—and compared them with observers’ diagnostic accuracy.

Results

Among the four representative parameters, accuracy corresponding to background noise had the highest correlation with the observers’ diagnostic accuracy. Hole depths of 0.3–0.7 and 0.1–0.7 mm had the highest correlation with observers’ diagnostic accuracy in mandibles with distinct and indistinct mandibular canals, respectively.

Conclusions

The accuracy corresponding to background noise obtained from the cluster signal-to-noise curve can be used to evaluate the effects of exposure conditions on diagnostic accuracy.

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Acknowledgements

This work was supported by JSPS KAKENHI under Grant Number 15K11074.

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Authors and Affiliations

  1. Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan

    Warangkana Weerawanich, Kazutoshi Okamura & Kazunori Yoshiura

  2. Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Mahidol University, Bangkok, Thailand

    Warangkana Weerawanich

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

    Mayumi Shimizu

  4. Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan

    Yohei Takeshita

  5. Section of Image Diagnostics, Department of Diagnostics and General Care, Fukuoka Dental College, Fukuoka, Japan

    Shoko Yoshida

  6. Oral Radiology Division, Faculty of Odontology, University of the Republic, Montevideo, Uruguay

    Gainer R. Jasa

Authors
  1. Warangkana Weerawanich
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  2. Mayumi Shimizu
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  3. Yohei Takeshita
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  4. Kazutoshi Okamura
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  5. Shoko Yoshida
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  6. Gainer R. Jasa
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  7. Kazunori Yoshiura
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Corresponding author

Correspondence to Warangkana Weerawanich.

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Conflict of interest

Warangkana Weerawanich, Yohei Takeshita, Shoko Yoshida and Gainer R Jasa declare that they have no conflict of interest. Mayumi Shimizu, Kazutoshi Okamura and Kazunori Yoshiura have received Grants from Japan Society for the Promotion of Science (15K11074).

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This article does not contain any studies with human or animal subjects performed by any of the authors.

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Weerawanich, W., Shimizu, M., Takeshita, Y. et al. Evaluation of cone-beam computed tomography diagnostic image quality using cluster signal-to-noise analysis. Oral Radiol 35, 59–67 (2019). https://doi.org/10.1007/s11282-018-0325-0

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  • DOI: https://doi.org/10.1007/s11282-018-0325-0

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