Author(s):
Sang-Hyun Han, Cheong-Hwan Lim
Email(s):
Email ID Not Available
DOI:
10.5958/0974-360X.2018.01021.1
Address:
Sang-Hyun Han1, Cheong-Hwan Lim2*
1Dept of Radiological, Seonam University, 7-111 Pyeongchon-gil, Songak-myeon, Asan-Si, Chungcheognam-do, 31556, Republic of Korea
2Dept of Radiological, Hanseo University, 46. Hanseo 1-ro, Haemi-Myun, Seosan-Si, Chungcheognam-do, 31962, Republic of Korea
*Corresponding Author
Published In:
Volume - 11,
Issue - 12,
Year - 2018
ABSTRACT:
Background/Objectives: To identify a shielding material which can potentially replace the defense apron used in departments of nuclear medicine. GEANT 4 Gate simulation experiment was conducted to find a lighter shielding material with similar effects as lead. Methods/Statistical analysis: Virtual space was designed for a 3D simulation. The detector was designed with heights of 50 and 100 cm from the origin of radiation and 2 cm away from it the five types of shielding materials were positioned in relation to the different radioisotope of calculated transmissions with values taken after 7.40E+06 photon emissions. Findings: The components with the highest shielding rates in the gate simulation were tungsten, followed by lead, bismuth, antimony, and barium sulfate. The thicker the shielding material the lower the transmission values for 99mTc, 123I, and 201Tl, but 131I and 18F did not show noteworthy changes. Improvements/Applications: Gate simulation as employed in this study was not considered the detector’s response characteristics. As outcomes only indicate transmission values, there is a need to conduct additional research on the detector. Varying the shielding material components by radioisotope types will help in the production of aprons for nuclear medicine.
Cite this article:
Sang-Hyun Han, Cheong-Hwan Lim. Evaluations of Gamma Radiation Shields Using a Monte Carlo Simulation. Research J. Pharm. and Tech 2018; 11(12): 5631-5636. doi: 10.5958/0974-360X.2018.01021.1
Cite(Electronic):
Sang-Hyun Han, Cheong-Hwan Lim. Evaluations of Gamma Radiation Shields Using a Monte Carlo Simulation. Research J. Pharm. and Tech 2018; 11(12): 5631-5636. doi: 10.5958/0974-360X.2018.01021.1 Available on: https://rjptonline.org/AbstractView.aspx?PID=2018-11-12-70