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http://dx.doi.org/10.7742/jksr.2018.12.3.289

Diagnostic X-ray Spectra Detection by Monte Carlo Simulation  

Baek, Cheol-Ha (Department of Radiological Science, Kangwon National University)
Lee, Seung-Jae (Department of Radiological Science, Dongseo University)
Kim, Daehong (Department of Radiological Science, Eulji University)
Publication Information
Journal of the Korean Society of Radiology / v.12, no.3, 2018 , pp. 289-295 More about this Journal
Abstract
Most diagnostic devices in the medical field use X-ray sources, which emit energy spectra. In radiological diagnosis, the quantitative and qualitative analyses of X-rays are essential for maintaining the image quality and minimizing the radiation dose to patients. This work aims to obtain the X-ray energy spectra used in diagnostic imaging by Monte Carlo simulation. Various X-ray spectra are simulated using a Monte Carlo simulation tool. These spectra are then compared to the reference data obtained with a tungsten anode spectral model using the interpolating polynomial (TASMIP) code. The X-ray tube voltages used are 50, 60, 80, 100, and 110 kV, respectively. CdTe and a-Se detector are used as the detectors for obtaining the X-ray spectra. Simulation results demonstrate that the various X-ray spectra are well matched with the reference data. Based on the simulation results, an appropriate X-ray spectrum, in accordance with the tube voltage, can be selected when generating an image for diagnostic imaging. The dose to be delivered to the patient can be predicted prior to examination in the diagnostic field.
Keywords
X-ray spectrum; Monte Carlo simulation;
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