Assessment of various polymer materials for enhanced radiation protection in X-ray imaging modalities: A comprehensive Monte Carlo simulation study

Research output: Contribution to journalArticlepeer-review

Abstract

Radiation protection is essential in X-ray imaging modalities to mitigate the potential health risks associated with exposure to ionizing radiation. This study, for the first time, focuses on evaluating the effects of 28 different pragmatic polymers used in polymer-based nanocomposites for radiation shielding in X-ray imaging. Using a Monte Carlo (MC) simulation-based approach, the shielding performance was assessed through key parameters such as the linear attenuation coefficient (μ), mass attenuation coefficient (μm), half-value layer (HVL), tenth-value layer (TVL), mean free path (MFP), and effective atomic number (Zeff), across photon energies ranging from 80 keV to 120 keV. Specifically, the study aims to evaluate the X-ray shielding properties of 28 different polymers using the Geant4 MC code. Among the polymers analyzed, PVDC demonstrated superior X-ray attenuation characteristics at 60, 80, 100, and 120 kVp. In terms of performance comparison, the polymers can be ranked as follows: PVDC > CPVC > PTFCE > PVC for μ, and PVDC > CPVC > PVC > PTFCE for μm. Notably, the polymers NR and PPy exhibited lower μ and μm values relative to the other polymers analyzed. Notably, the polymers NR and PPy exhibited the lowest μ and μm values among those studied. Furthermore, unlike the trends observed for μ and μm, the MFP, HVL, and TVL values for all polymers increased with rising incident photon energy.

Original languageEnglish
Article number112806
JournalRadiation Physics and Chemistry
Volume234
DOIs
StatePublished - Sep 2025

Keywords

  • Monte Carlo
  • Polymer composite
  • Radiation shielding
  • Shielding properties
  • X-rays

Fingerprint

Dive into the research topics of 'Assessment of various polymer materials for enhanced radiation protection in X-ray imaging modalities: A comprehensive Monte Carlo simulation study'. Together they form a unique fingerprint.

Cite this