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http://dx.doi.org/10.17946/JRST.2019.42.3.175

Analysis of Scatter Ray Distribution Using GEANT4-GATE Simulation and Effectiveness of Silicone Pad in Digital Mammography  

Kim, Myeong-soo (Proton Therapy Center National Cancer Center)
Kim, Young-kuen (Dept of Radiologic Technology Gwangju Health University)
Jang, Young-Il (Dept of Radiologic Technology Gwangyang Health Sciences University)
Publication Information
Journal of radiological science and technology / v.42, no.3, 2019 , pp. 175-180 More about this Journal
Abstract
In this study, we have researched the effectiveness of silicone pad. A distribution of scatter ray in mammography was evaluated using Monte-Carlo (MC) simulation technique and then a silicone pad was applied to remove the scatter ray for improving image quality. Molybdenum target and Molybdenum filter combination made a difference of 59.8% to a number of photon at 17.5 keV. On the other hand, Tungsten target and Rhodium filter showed a variation of 24.5% at 20 keV. Mean 68 of SNR was increased in Selenia and mean 1.04 of SNR was raised in Senographe. Silicone pad was significantly effective to reduce the scatter ray that was generated by primary X-ray. It can decrease an absorption rate of scatter ray to patient body and whilst it improve the image quality from increasing SNR.
Keywords
Digital Mammography; Monte-Carlo simulation; Scatter ray; Silicone pad; Signal to noise ratio(SNR);
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Kump K, Grantors P, Pla F, Gober P. Digital X-ray detector technology. Physics in Medicine & Biology. 1981;26(5):907-11.   DOI
2 Van der Stelt PF. Better imaging: The advantages of digital radiography. J Am Dent Asso . 2008;139:7S-13S.   DOI
3 Carroll QB. Radiography in the digital age: physics-exposure-radiation. Digital imaging processing. Charles C Tomas; 2014.
4 Ingrid Helen Ryste Hauge. Radiation Dose in Mammography. Digital Mammography. pp 153-161.
5 Demetri-Lewis A, Slanetz PJ, Eisenberg RL. Breast Calcifications: the focal group. Am J Roentgenol. 2012;198(4):W325-43. doi: 10.2214/AJR.10.5732.   DOI
6 Poludniowski G, Landry G, DeBlois F, et al. SpekCalc: A program to calculate photon spectra from tungsten anode x-ray tubes. Phys Med Biol. 2009;54(19):N433-8.   DOI
7 Jan S, Santin G, Strul D, Staelens S, Assie K, Autret D, et al. GATE - Geant 4 Application for Tomographic Emission: A simulation toolkit for PET and SPECT. Phys Med Biol. 2004;49(19):4543-61.   DOI
8 Arefan D, Talebpour A, Ahmadinejhad N, et al. Calculation of the contrast of the calcification in digital mammography system: Gate validation. J Cancer Res Ther. 2018;14(2):335-40.
9 Leon SM, Brateman LF, Wagner LK. Characterization of scatter in digital mammography from physical measurements. Med Phys. 2014;41(6):061901.   DOI
10 Shrimpton PC. Electron density values of various human tissues: in vitro Compton scatter measurements andcalculated ranges. Physics in Medicine & Biology. 1981;26(5):907-11.   DOI
11 Il Park, Kyeong Ho Kim, Seung Chul Oh, Ji Young Song, O Hyun Kwon, Kwang Pyo Kim, Evaluation of Radiation Dose to Patients in Intraoral Dental Radiography Using Monte Carlo Method. Journal of Radiation Industry. 2016;10(3):139-44.
12 Monteiro AMMCC. GATE Model of a SPECT-CT Equi pment for Breast Cancer Diagnosis. André Miguel Monteiro [Internet]. 2016. http://repositorio.ul.pt/bitstream/10451/26323/1/ulfc120888_tm_Andr%C3%A9_Monteiro.pdf.
13 Wang, W, Qiu, R, Ren L, Liu H, et al. Validation of Monte Carlo simulation of mammography with TLDmeasurement and depth dose calculation with a detailed breast model. EPJ Web of Conferences 153, 04017. 2017.
14 Lee IJ. Relationship of Compressed Breast Thickness and Average Glandular Dose According to Focus/Filter. Journal of Radiological Science and Technology. 2009;32(3);261-70.
15 Hong DH, Jung HR. A Study on Compression Paddle Materials to Reduce Radiation Exposure Dose During Mammography: PC and PMMA and Carbon. Journal of Radiological Science and Technology. 2015:38(2);81-7.   DOI