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Correlation analysis between radiation exposure and the image quality of cone-beam computed tomography in the dental clinical environment

  • Song, Chang-Ho (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Yeom, Han-Gyeol (Department of Oral and Maxillofacial Radiology, College of Dentistry, Daejeon Dental Hospital, Wonkwang University) ;
  • Kim, Jo-Eun (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Huh, Kyung-Hoe (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Yi, Won-Jin (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Heo, Min-Suk (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Lee, Sam-Sun (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University)
  • Received : 2022.01.29
  • Accepted : 2022.04.07
  • Published : 2022.09.30

Abstract

Purpose: This study was conducted to measure the radiation exposure and image quality of various cone-beam computed tomography (CBCT) machines under common clinical conditions and to analyze the correlation between them. Materials and Methods: Seven CBCT machines used frequently in clinical practice were selected. Because each machine has various sizes of fields of view (FOVs), 1 large FOV and 1 small FOV were selected for each machine. Radiation exposure was measured using a dose-area product (DAP) meter. The quality of the CBCT images was analyzed using 8 image quality parameters obtained using a dental volume tomography phantom. For statistical analysis, regression analysis using a generalized linear model was used. Results: Polymethyl-methacrylate (PMMA) noise and modulation transfer function (MTF) 10% showed statistically significant correlations with DAP values, presenting positive and negative correlations, respectively (P<0.05). Image quality parameters other than PMMA noise and MTF 10% did not demonstrate statistically significant correlations with DAP values. Conclusion: As radiation exposure and image quality are not proportionally related in clinically used equipment, it is necessary to evaluate and monitor radiation exposure and image quality separately.

Keywords

Acknowledgement

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. 2020R1I1A3075360).

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