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Technical note: Generation of a Cerenkov scatter function convolution kernel for a primary proton beam.

Steven A Thompson1

  • 1Department of Medical Physics, University of Florida, Gainesville, FL, USA.

Journal of Applied Clinical Medical Physics
|October 30, 2020
PubMed
Summary

This study generated a Cerenkov scatter function (CSF) for proton beams, finding that phantom material significantly impacts CSF amplitude and width. The developed CSF can help determine dose distributions from Cerenkov images.

Keywords:
Cerenkov radiationCerenkov scatter functionconvolutionproton therapy

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Area of Science:

  • Medical Physics
  • Computational Physics

Background:

  • Cerenkov radiation is produced by charged particles traversing a medium faster than the speed of light.
  • Accurate modeling of Cerenkov scatter functions (CSFs) is crucial for proton therapy dose reconstruction.
  • Understanding the influence of tissue optical properties on CSF is essential for in-vivo dosimetry.

Purpose of the Study:

  • To generate a Cerenkov scatter function (CSF) for a primary proton beam.
  • To investigate how different irradiated media affect the CSF.
  • To provide coefficients for a radially symmetric CSF for dose distribution deconvolution.

Main Methods:

  • Utilized MCNP 6.2 code for Monte Carlo simulations.
  • Calculated CSFs for stratified skin (light, medium, dark) and a homogeneous optical phantom.
  • Binned escaping Cerenkov photons and fitted photon flux distribution with a triple Gaussian function.

Main Results:

  • Generated CSF coefficients with fit errors between 0.92% and 4.11% (R²=0.99).
  • Phantom material significantly affected CSF amplitude (63% difference) and FWHM (195% difference).
  • Differences in CSF parameters for varying skin pigmentation were minimal.

Conclusions:

  • Successfully obtained CSFs for proton beams in various phantom materials using MCNP 6.2.
  • Developed a triple-Gaussian fit for the CSF, yielding usable coefficients.
  • The generated CSF coefficients enable deconvolution of Cerenkov images for accurate dose distribution determination.