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Contrast reference values in panoramic radiographic images using an arch-form phantom stand

  • Shin, Jae-Myung (Department of Oral and Maxillofacial Surgery, Ilsan Paik Hospital, Inje University College of Medicine) ;
  • Lee, Chena (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National 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) ;
  • Choi, Soon-Chul (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 : 2016.02.14
  • Accepted : 2016.04.06
  • Published : 2016.09.30

Abstract

Purpose: The purpose of this study was to investigate appropriate contrast reference values (CRVs) by comparing the contrast in phantom and clinical images. Materials and Methods: Phantom contrast was measured using two methods: (1) counting the number of visible pits of different depths in an aluminum plate, and (2) obtaining the contrast-to-noise ratio (CNR) for 5 tissue-equivalent materials (porcelain, aluminum, polytetrafluoroethylene [PTFE], polyoxymethylene [POM], and polymethylmethacrylate [PMMA]). Four panoramic radiographs of the contrast phantom, embedded in the 4 different regions of the arch-form stand, and 1 real skull phantom image were obtained, post-processed, and compared. The clinical image quality evaluation chart was used to obtain the cut-off values of the phantom CRV corresponding to the criterion of being adequate for diagnosis. Results: The CRVs were obtained using 4 aluminum pits in the incisor and premolar region, 5 aluminum pits in the molar region, and 2 aluminum pits in the temporomandibular joint (TMJ) region. The CRVs obtained based on the CNR measured in the anterior region were: porcelain, 13.95; aluminum, 9.68; PTFE, 6.71; and POM, 1.79. The corresponding values in the premolar region were: porcelain, 14.22; aluminum, 8.82; PTFE, 5.95; and POM, 2.30. In the molar region, the following values were obtained: porcelain, 7.40; aluminum, 3.68; PTFE, 1.27; and POM, - 0.18. The CRVs for the TMJ region were: porcelain, 3.60; aluminum, 2.04; PTFE, 0.48; and POM, - 0.43. Conclusion: CRVs were determined for each part of the jaw using the CNR value and the number of pits observed in phantom images.

Keywords

References

  1. Institute of Physics and Engineering in Medicine. Recommended standards for the routine performance testing of diagnostic X-ray imaging systems. IPEM Report 91. York: Institute of Physics and Engineering in Medicine; 2005.
  2. Yoo S, Kim GY, Hammoud R, Elder E, Pawlicki T, Guan H, et al. A quality assurance program for the on-board imagers. Med Phys 2006; 33: 4431-47. https://doi.org/10.1118/1.2362872
  3. International Electrotechnical Commission. Evaluation and routine testing in medical imaging departments - Part 3-4: Acceptance tests - Imaging performance of dental X-ray equipment. IEC 61223-3-4. Geneva: International Electrotechnical Commission; 2000.
  4. Choi DH, Choi BR, Choi JW, Huh KH, Yi WJ, Heo MS, et al. Reference line-pair values of panoramic radiographs using an arch-form phantom stand to assess clinical image quality. Imaging Sci Dent 2013; 43: 7-15. https://doi.org/10.5624/isd.2013.43.1.7
  5. International Commission on Radiation Units and Measurements. Tissue substitutes in radiation dosimetry and measurement. ICRU Report 44. Bethesda: International Commission on Radiation Units and Measurements; 1989.
  6. Schneider U, Pedroni E, Lomax A. The calibration of CT Hounsfield units for radiotherapy treatment planning. Phys Med Biol 1996; 41: 111-24. https://doi.org/10.1088/0031-9155/41/1/009
  7. Midgley SM. A method for estimating radiation interaction coefficients for tissues from single energy CT. Phys Med Biol 2014; 59: 7479-99. https://doi.org/10.1088/0031-9155/59/23/7479
  8. Lee SW, Choi YN, Cho HM, Lee YJ, Ryu HJ, Kim HJ. Feasibility of photon-counting K-edge imaging in X-ray and computed tomographic systems: Monte Carlo simulation studies. J Korean Phys Soc 2011; 59: 2833-9. https://doi.org/10.3938/jkps.59.2833
  9. Choi BR, Choi DH, Huh KH, Yi WJ, Heo MS, Choi SC, et al. Clinical image quality evaluation for panoramic radiography in Korean dental clinics. Imaging Sci Dent 2012; 42: 183-90. https://doi.org/10.5624/isd.2012.42.3.183

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