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Tissue classifications in Monte Carlo simulations of patient dose for photon beam tumor treatments

  • Mu Han Lin
  • , Tsi Chian Chao
  • , Chung Chi Lee
  • , Joseph Tung Chieh Chang
  • , Chuan Jong Tung*
  • *Corresponding author for this work
  • National Tsing Hua University
  • Chang Gung Memorial Hospital

Research output: Contribution to journal › Journal Article › peer-review

3 Scopus citations

Abstract

The purpose of this work was to study the calculated dose uncertainties induced by the material classification that determined the interaction cross-sections and the water-to-material stopping-power ratios. Calculations were made for a head- and neck-cancer patient treated with five intensity-modulated radiotherapy fields using 6MV photon beams. The patient's CT images were reconstructed into two voxelized patient phantoms based on different CT-to-material classification schemes. Comparisons of the depth-dose curve of the anterior-to-posterior field and the dose-volume-histogram of the treatment plan were used to evaluate the dose uncertainties from such schemes. The results indicated that any misassignment of tissue materials could lead to a substantial dose difference, which would affect the treatment outcome. To assure an appropriate material assignment, it is desirable to have different conversion tables for various parts of the body. The assignment of stopping-power ratio should be based on the chemical composition and the density of the material.

Original languageEnglish
Pages (from-to)393-396
Number of pages4
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume619
Issue number1-3
DOIs
StatePublished - 01 07 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Material classification
  • Stopping-power ratio

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