18 March 2015 Evaluation of effective dose with chest digital tomosynthesis system using Monte Carlo simulation
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Abstract
Chest digital tomosynthesis (CDT) system has recently been introduced and studied. This system offers the potential to be a substantial improvement over conventional chest radiography for the lung nodule detection and reduces the radiation dose with limited angles. PC-based Monte Carlo program (PCXMC) simulation toolkit (STUK, Helsinki, Finland) is widely used to evaluate radiation dose in CDT system. However, this toolkit has two significant limits. Although PCXMC is not possible to describe a model for every individual patient and does not describe the accurate X-ray beam spectrum, Geant4 Application for Tomographic Emission (GATE) simulation describes the various size of phantom for individual patient and proper X-ray spectrum. However, few studies have been conducted to evaluate effective dose in CDT system with the Monte Carlo simulation toolkit using GATE.

The purpose of this study was to evaluate effective dose in virtual infant chest phantom of posterior-anterior (PA) view in CDT system using GATE simulation. We obtained the effective dose at different tube angles by applying dose actor function in GATE simulation which was commonly used to obtain the medical radiation dosimetry. The results indicated that GATE simulation was useful to estimate distribution of absorbed dose. Consequently, we obtained the acceptable distribution of effective dose at each projection. These results indicated that GATE simulation can be alternative method of calculating effective dose in CDT applications.
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Dohyeon Kim, Dohyeon Kim, Byungdu Jo, Byungdu Jo, Youngjin Lee, Youngjin Lee, Su-Jin Park, Su-Jin Park, Dong-Hoon Lee, Dong-Hoon Lee, Hee-Joung Kim, Hee-Joung Kim, } "Evaluation of effective dose with chest digital tomosynthesis system using Monte Carlo simulation", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94125D (18 March 2015); doi: 10.1117/12.2081778; https://doi.org/10.1117/12.2081778
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