Two-dimensional prompt gamma measurement simulation for in vivo dose verification in proton therapy

A monte carlo study

Chul Hee Min, Han Rim Lee, Chan Hyeong Kim

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In proton therapy, accurate verification of in vivo dose distribution is necessary to ensure not only the safety of the patient but also the success of the treatment itself. It has been shown, both by Monte Carlo simulations and by limited experiments, that the proton beam range in a patient can be accurately determined by measuring the distribution of the prompt gammas generated from protoninduced nuclear interactions. In the present study, a twodimensional (2-D) prompt gamma detection system incorporating a 51 (longitudinal) × 21 (lateral) detector array was designed and tested by Monte Carlo simulations using the MCNPX code. Additionally, the detection probability of the prompt gammas per primary proton was calculated for different proton energies. Despite the increase of the beam dispersion effect and background gammas with the increase of the proton energy, our simulation results clearly showed that it is possible to measure the 2-D distribution of prompt gammas up to 150 MeV using the 2-D prompt gamma detection system.

Original languageEnglish
Pages (from-to)11-15
Number of pages5
JournalNuclear Technology
Volume175
Issue number1
DOIs
Publication statusPublished - 2011 Jan 1

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therapy
Protons
proton energy
dosage
protons
nuclear interactions
simulation
proton beams
Proton beams
safety
detectors
Detectors
Experiments
Monte Carlo simulation

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Condensed Matter Physics

Cite this

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Two-dimensional prompt gamma measurement simulation for in vivo dose verification in proton therapy : A monte carlo study. / Min, Chul Hee; Lee, Han Rim; Kim, Chan Hyeong.

In: Nuclear Technology, Vol. 175, No. 1, 01.01.2011, p. 11-15.

Research output: Contribution to journalArticle

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