A fast numerical algorithm for electron mean energy calculation in radiation therapy

Steve B. Jiang, Zheng Ming Luo, Todd Pawlicki, Komanduri M. Ayyangar

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A numerical algorithm for calculating the mean energy of radiotherapy electron beams has been developed. This algorithm is fast and accurate which makes it suitable for routine clinical use. First, a Gaussian distribution of the electron energy spectrum is derived from the linear Boltzmann equation. Based on this Gaussian spectrum, and after introducing a correction to the CSDA mean energy, a recursive-iterative algorithm for the mean energy calculation is developed. The multiple-scattering correction is taken into account using Yang's pathlength distribution theory. Numerical results of the present algorithm are compared with the results obtained through Monte Carlo simulation as well as Harder's formula. Good agreement with Monte Carlo simulation is achieved. Also the new algorithm is much more accurate than the commonly used empirical formula of Harder.

Original languageEnglish (US)
Pages (from-to)487-491
Number of pages5
JournalComputers in Biology and Medicine
Volume27
Issue number6
DOIs
StatePublished - Nov 1997

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Radiotherapy
Electrons
Boltzmann equation
Multiple scattering
Normal Distribution
Gaussian distribution
Electron beams
Monte Carlo simulation

Keywords

  • Electron beam
  • Gaussian spectrum
  • Mean energy
  • Multiple- scattering
  • Radiation therapy

ASJC Scopus subject areas

  • Computer Science Applications

Cite this

A fast numerical algorithm for electron mean energy calculation in radiation therapy. / Jiang, Steve B.; Luo, Zheng Ming; Pawlicki, Todd; Ayyangar, Komanduri M.

In: Computers in Biology and Medicine, Vol. 27, No. 6, 11.1997, p. 487-491.

Research output: Contribution to journalArticle

Jiang, Steve B. ; Luo, Zheng Ming ; Pawlicki, Todd ; Ayyangar, Komanduri M. / A fast numerical algorithm for electron mean energy calculation in radiation therapy. In: Computers in Biology and Medicine. 1997 ; Vol. 27, No. 6. pp. 487-491.
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