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Fluence calculation methods in Monte Carlo dosimetry simulations.

Günther H Hartmann1, Pedro Andreo2

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PubMed
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This study compares Monte Carlo methods for charged-particle fluence spectra, finding that segment-based energy binning offers greater accuracy. Positron contributions are significant, but restricted radiative losses have minimal impact on dosimetry.

Keywords:
Monte Carlo dosimetrycemaelectron fluence distributionstopping-powers

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Area of Science:

  • * Medical Physics
  • * Computational Physics
  • * Radiation Dosimetry

Background:

  • * Monte Carlo (MC) methods are crucial for simulating charged-particle transport.
  • * Calculating charged-particle fluence spectra is complex and information is fragmented.
  • * Existing methods have limitations in accuracy and applicability.

Purpose of the Study:

  • * To consolidate and compare methods for computing charged-particle fluence spectra in MC simulations.
  • * To introduce and evaluate an alternative computational approach.
  • * To assess the impact of positron fluence and restricted radiative energy losses on dosimetry.

Main Methods:

  • * Review and theoretical analysis of common MC fluence spectrum calculation methods.
  • * Development and implementation of an alternative method.
  • * Ad-hoc MC simulations for comparative analysis.
  • * Investigation of restricted vs. unrestricted stopping powers.

Main Results:

  • * Methods apportioning track segments to energy bins are independent of segment length and energy loss, offering higher accuracy.
  • * Positron fluence can contribute several percent to total restricted collisional mass energy absorption (cema), impacting accuracy if omitted.
  • * Restricted radiative energy losses have a negligible influence on fluence distribution and cema calculations.

Conclusions:

  • * Segment-based energy binning methods are superior for accurate fluence spectra computation.
  • * Positron fluence must be considered for precise cema calculations.
  • * Restricted radiative energy losses can be disregarded in most common dosimetry scenarios.