Characterization of stochastic noise and post-irradiation density growth for reflective-type radiochromic film in therapeutic photon beam dosimetry

Phys Med. 2016 Oct;32(10):1314-1320. doi: 10.1016/j.ejmp.2016.07.091. Epub 2016 Jul 26.

Abstract

The aim of this study is to investigate the dosimetric uncertainty of stochastic noise and the post-irradiation density growth for reflective-type radiochromic film to obtain the appropriate dose from the exactly controlled film density. Film pieces were irradiated with 6-MV photon beams ranging from 0 to 400cGy. The pixel values (PVs) of these films were obtained using a flatbed scanner at elapsed times of 1min to 120h between the end of irradiation and the film scan. The means and standard deviations (SDs) of the PVs were calculated. The SDs of the converted dose scale, usd, and the dose increases resulting from the PV increases per ±29min at each elapsed time, utime, were computed. The combined dose uncertainties from these two factors, uc, were then calculated. A sharp increase in the PV occurred within the first 3h after irradiation, and a slight increase continued from 3h to 120h. usd was independent of post-irradiation elapsed time. Sharp decreases in utime were obtained within 1h after irradiation, and slight decreases in utime were observed from 1 to 24h after irradiation. uc first decreased 1h after irradiation and remained constant afterward. Assuming that the post-irradiation elapsed times of all of the related measurements are synchronized within ±29min, the elapsed time should be at least 1h in our system. It is important to optimize the scanning protocol for each institution with consideration of the required measurement uncertainty and acceptable latency time.

Keywords: Dosimetric uncertainty; Post-irradiation density growth; Radiochromic film; Stochastic noise.

Publication types

  • Evaluation Study

MeSH terms

  • Biophysical Phenomena
  • Film Dosimetry / methods*
  • Film Dosimetry / statistics & numerical data*
  • Humans
  • Photons / therapeutic use*
  • Radiotherapy, High-Energy
  • Stochastic Processes
  • Uncertainty