Browse > Article

Comparison of the SNR in the MR images on dental implant material  

Kim, Dong-Hyun (부산가톨릭대학교)
Ko, Seong-Jin (부산가톨릭대학교)
Ye, Soo-Young (부산가톨릭대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.16, no.4, 2015 , pp. 149-155 More about this Journal
Abstract
Tooth implant is located in oral cavity and affects neck, skull base, and facail image. These magnetic inhomogeneities are usually frequency encoding direction which cause artifacts due to change of signal strength and geometric distortion. First, to evaluate signal to noise ratio (SNR) of magnetic resonance image caused by tooth implant this study uses meat phantom which is similar to human body and is consisted with fat, muscle, and water to measure signal to noise ratio. Second, signal to noise ratio by using custom-made fixed phantom is measured, and then signal to noise ratio size of different tooth implant types is compared and analyzed. The measured signal to noise ratio values of Brushite, HSA, Metal, and RBM for meat phantom were 2.76, 2.22, 1.88, and 1.57 on T1 SE, 1.88, 1.78, 1.65, and 1.79 on T2 FLAIR, 2.28, 2.25, 2.88, and 2.05 on T2 FSE, and 2.74, 1.94, 1.67, and 1.48 on T2 GRE. The measured signal to noise ratio values of Brushite, HSA, Metal, and RBM for fixed water phantom were 1.2, 1.06, 1.12, and 1.22 on DWI, 1.93, 1.87, 1.93, and 2.06 T1 SE, 1.83, 1.76, 1.82, and 1.92 on T2 FLAIR, 1.85, 1.79, 7.86, and 1.97 on T2 FSE, and 1.97, 1.93, 1.99, and 2.06 on T2 GRE. By considering through the results, patients and dentists need to consider some impacts from testing many aspects although their main purpose of having tooth implants is a dental restoration. Moreover, depending on the tooth implant characteristics of individual patients this study results can be used as baseline data when choosing test protocol.
Keywords
Magnetic resonance imaging; Tooth implant; Signal to noise ratio;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Branemark, Per-Ingvar, Zarb, George, Tissueintegrated prostheses (in English), Berlin, German: Quintessence Books, 1989.
2 S.C. Bushong, Geoffrey Clarke, Magnetic Resonance Imaging : Physical and Biological Principles(4Th edition), Elsevier, 2013.
3 Tymofiyeva, Vaegler S, Rottner K, Boldt J, Hopfgartner AJ, Proff PC, Richter EJ, Jakob PM., "Influence of dental materials on dental MRI", Dentomaxillofac Radiol.,Vol.42, No.2, pp.20120271, 2013.   DOI
4 Dorota V. Burchardt, Maria Borysewicz-lewicka, "Disturbing effect of different dental materials on the MRI results: preliminary study", Acta of Bioengineering and Biomechanics, Vol.15, No.4, 2013.
5 Jana Starcukova, Jana Starcukova, Jana Starcukova, Zenon Starcuk Jr., Hana Hubalkova, Igor Linetskiy, "Magnetic susceptibility and electrical conductivity of metallic dental materials and their impact on MR imaging artifacts", Vol. 24, Issue 6, pp. 715-723, 2008.   DOI
6 C. Fiolhais, F. Nogueira, and M.A.L. Marques (Eds.), A Primer in Density-Functional Theory, Lecture Notes in Physics, Vol. 620 (Springer, Berlin), 2003.
7 Marta Tanasiewic,"Magnetic resonance imaging in human teeth internal space visualization for requirements of dental prosthetic", J Clin Exp Dent.,Vol. 2, No.1, pp.e6-11, 2010.
8 Hansson S., "The implant nect: smooth or provided with retention elements. Abiomechanical approach", Clin Oral Implants Res, Vol. 10, No.5, pp. 394-405, 1999.   DOI
9 Abramoff, M. D. and Viergever, M. A. "Computation and visualization of three-dimensional soft tissue motion in the orbit", IEEE Trans. Med.Imaging 21, 296-304, 2002.   DOI
10 D. J. Schroeder, Astronomical opstics (2nd ed.). Academic Press. p. 433, 1999.
11 Bushberg, J. T., et al., The Essential Physics of Medical Imaging, (2e). Philadelphia: Lippincott Williams &Wilkins, 2006, p. 280.