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http://dx.doi.org/10.5392/JKCA.2014.14.06.247

Evaluation of Image Quality using Monte Carlo Simulation in Digital Mammography System  

Kim, Changsoo (부산가톨릭대학교 보건과학대학 방사선학과)
Kang, Se-Sik (부산가톨릭대학교 보건과학대학 방사선학과)
Kim, Jung-Hoon (부산가톨릭대학교 보건과학대학 방사선학과)
Lee, Jin-Soo (인제대학교 해운대백병원 영상의학과)
Publication Information
The Journal of the Korea Contents Association / v.14, no.6, 2014 , pp. 247-254 More about this Journal
Abstract
For the purpose of early diagnosis of the breast cancer, the attention on the screening mammography has been increasing-with supply of digital mammography day by day. Image quality is decided by target materials and filter combinations. Optimized selection by a glandular density and a thickness is needed, because these combinations change x-ray spectrum and effect to image quality. The purpose of this study is to find out optimized target and filter combinations through the evaluation of quantitative image quality and to suggest means which minimize patient dose through MCNPX. In results, spatial frequency resolution evaluation which is quantitative image quality evaluation method, MTF, NPS, DQE shows that we have to select Mo/Mo combinations or Mo/Rh combinations when compressed breast is thin. but in case of that when compressed breast is thick, we have to select Rh/Rh combinations or W /Rh combinations. In a comprehensive evaluation, W!Rh combinations which are not used in thin breasts in practice was superior to all image quality evaluation. This result is somewhat different-with clinical examination results. Secondary end point was organ dose evaluation, radiation dose of opposite breast was approximately 47 ~73% effectiveness when selecting standard breast. In conculsion, the most important point is that we have to select the optimal combinations-with considering dose evaluation and various thickness.
Keywords
Digital Mammography System; MCNPX; Evaluation of Image Quality; Evaluation of Organ Dose;
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Times Cited By KSCI : 2  (Citation Analysis)
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