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Assessment of CT numbers in limited and medium field-of-view scans taken using Accuitomo 170 and Veraviewepocs 3De cone-beam computed tomography scanners

  • Oliveira, Matheus L. (Department of Oral Diagnosis, Piracicaba Dental School, State University of Campinas) ;
  • Tosoni, Guilherme M. (Department of Oral Diagnosis and Surgery, Araraquara Dental School, Sao Paulo State University) ;
  • Lindsey, David H. (Section of Oral and Maxillofacial Radiology, School of Dentistry, University of California) ;
  • Mendoza, Kristopher (Section of Oral and Maxillofacial Radiology, School of Dentistry, University of California) ;
  • Tetradis, Sotirios (Section of Oral and Maxillofacial Radiology, School of Dentistry, University of California) ;
  • Mallya, Sanjay M. (Section of Oral and Maxillofacial Radiology, School of Dentistry, University of California)
  • 투고 : 2014.05.03
  • 심사 : 2014.09.13
  • 발행 : 2014.12.31

초록

Purpose: To assess the influence of anatomic location on the relationship between computed tomography (CT) number and X-ray attenuation in limited and medium field-of-view (FOV) scans. Materials and Methods: Tubes containing solutions with different concentrations of $K_2HPO_4$ were placed in the tooth sockets of a human head phantom. Cone-beam computed tomography (CBCT) scans were acquired, and CT numbers of the $K_2HPO_4$ solutions were measured. The relationship between CT number and $K_2HPO_4$ concentration was examined by linear regression analyses. Then, the variation in CT number according to anatomic location was examined. Results: The relationship between $K_2HPO_4$ concentration and CT number was strongly linear. The slopes of the linear regressions for the limited FOVs were almost 2-fold lower than those for the medium FOVs. The absolute CT number differed between imaging protocols and anatomic locations. Conclusion: There is a strong linear relationship between X-ray attenuation and CT number. The specific imaging protocol and anatomic location of the object strongly influence this relationship.

키워드

참고문헌

  1. Molteni R. Prospects and challenges of rendering tissue density in Hounsfield units for cone beam computed tomography. Oral Surg Oral Med Oral Pathol Oral Radiol 2013; 116: 105-19. https://doi.org/10.1016/j.oooo.2013.04.013
  2. Adams JE. Quantitative computed tomography. Eur J Radiol 2009; 71: 415-24. https://doi.org/10.1016/j.ejrad.2009.04.074
  3. Oliveira ML, Pedrosa EF, Cruz AD, Haiter-Neto F, Paula FJ, Watanabe PC. Relationship between bone mineral density and trabecular bone pattern in postmenopausal osteoporotic Brazilian women. Clin Oral Investig 2013; 17: 1847-53. https://doi.org/10.1007/s00784-012-0882-2
  4. Mah P, Reeves TE, McDavid WD. Deriving Hounsfield units using grey levels in cone beam computed tomography. Dentomaxillofac Radiol 2010; 39: 323-35. https://doi.org/10.1259/dmfr/19603304
  5. Parsa A, Ibrahim N, Hassan B, Motroni A, van der Stelt P, Wismeijer D. Reliability of voxel gray values in cone beam computed tomography for preoperative implant planning assessment. Int J Oral Maxillofac Implants 2012; 27: 1438-42.
  6. Pauwels R, Nackaerts O, Bellaiche N, Stamatakis H, Tsiklakis K, Walker A, et al. Variability of dental cone beam CT grey values for density estimations. Br J Radiol 2013; 86: 20120135. https://doi.org/10.1259/bjr.20120135
  7. Valiyaparambil JV, Yamany I, Ortiz D, Shafer DM, Pendrys D, Freilich M, et al. Bone quality evaluation: comparison of cone beam computed tomography and subjective surgical assessment. Int J Oral Maxillofac Implants 2012; 27: 1271-7.
  8. Lagravere MO, Carey J, Ben-Zvi M, Packota GV, Major PW. Effect of object location on the density measurement and Hounsfield conversion in a NewTom 3G cone beam computed tomography unit. Dentomaxillofac Radiol 2008; 37: 305-8. https://doi.org/10.1259/dmfr/65993482
  9. Oliveira ML, Tosoni GM, Lindsey DH, Mendoza K, Tetradis S, Mallya SM. Influence of anatomical location on CT numbers in cone beam computed tomography. Oral Surg Oral Med Oral Pathol Oral Radiol 2013; 115: 558-64. https://doi.org/10.1016/j.oooo.2013.01.021
  10. Sanada S, Kawahara K, Yamamoto T, Takashima T. New tissue substitutes representing cortical bone and adipose tissue in quantitative radiology. Phys Med Biol 1999; 44: N107-12. https://doi.org/10.1088/0031-9155/44/6/405
  11. Rosset A, Spadola L, Ratib O. OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging 2004; 17: 205-16. https://doi.org/10.1007/s10278-004-1014-6
  12. Silva IM, Freitas DQ, Ambrosano GM, Boscolo FN, Almeida SM. Bone density: comparative evaluation of Hounsfield units in multislice and cone-beam computed tomography. Braz Oral Res 2012; 26: 550-6. https://doi.org/10.1590/S1806-83242012000600011
  13. Naitoh M, Hirukawa A, Katsumata A, Ariji E. Evaluation of voxel values in mandibular cancellous bone: relationship between cone-beam computed tomography and multislice helical computed tomography. Clin Oral Implants Res 2009; 20: 503-6. https://doi.org/10.1111/j.1600-0501.2008.01672.x
  14. Nomura Y, Watanabe H, Honda E, Kurabayashi T. Reliability of voxel values from cone-beam computed tomography for dental use in evaluating bone mineral density. Clin Oral Implants Res 2010; 21: 558-62. https://doi.org/10.1111/j.1600-0501.2009.01896.x
  15. Parsa A, Ibrahim N, Hassan B, Motroni A, van der Stelt P, Wismeijer D. Influence of cone beam CT scanning parameters on grey value measurements at an implant site. Dentomaxillofac Radiol 2013; 42: 79884780. https://doi.org/10.1259/dmfr/79884780
  16. Cassetta M, Stefanelli LV, Pacifici A, Pacifici L, Barbato E. How accurate is CBCT in measuring bone density? A comparative CBCT-CT in vitro study. Clin Implant Dent Relat Res 2014; 16: 471-8. https://doi.org/10.1111/cid.12027
  17. Sisniega A, Zbijewski W, Badal A, Kyprianou IS, Stayman JW, Vaquero JJ, et al. Monte Carlo study of the effects of system geometry and antiscatter grids on cone-beam CT scatter distributions. Med Phys 2013; 40: 051915. https://doi.org/10.1118/1.4801895
  18. Katsumata A, Hirukawa A, Okumura S, Naitoh M, Fujishita M, Ariji E, et al. Relationship between density variability and imaging volume size in cone-beam computerized tomographic scanning of the maxillofacial region: an in vitro study. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2009; 107: 420-5. https://doi.org/10.1016/j.tripleo.2008.05.049

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