A Fano cavity test for Monte Carlo proton transport algorithms. Issue 1 (18th December 2013)

• Record Type: Journal Article
• Authors: Sterpin, Edmond; Sorriaux, Jefferson; Souris, Kevin; Vynckier, Stefaan; Bouchard, Hugo
• Is Part Of: Medical physics. Volume 41:Issue 1(2014)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2013-12-18
• Subjects: Therapeutic applications, including brachytherapy -- Dosimetry/exposure assessment -- Algorithms -- Charge (electron, proton) transfer in biological systems; chemical exchanges -- dosimetry -- ionisation chambers -- Monte Carlo methods -- phantoms -- physiological models -- radiation therapy -- water; Monte Carlo -- Fano cavity test -- dosimetry; Radiation therapy -- Measurement of nuclear or x‐radiation -- Tubes for determining the presence, intensity, density or energy of radiation or particles -- Scintigraphy; Protons -- Monte Carlo methods -- Cavitation -- Photons -- Collisional energy loss -- Ionization chambers -- Nuclear reactions -- Elasticity -- Secondary emission -- Dosimetry; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4835475
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: : In the scope of reference dosimetry of radiotherapy beams, Monte Carlo (MC) simulations are widely used to compute ionization chamber dose response accurately. Uncertainties related to the transport algorithm can be verified performing self‐consistency tests, i.e., the so‐called "Fano cavity test." The Fano cavity test is based on the Fano theorem, which states that under charged particle equilibrium conditions, the charged particle fluence is independent of the mass density of the media as long as the cross‐sections are uniform. Such tests have not been performed yet for MC codes simulating proton transport. The objectives of this study are to design a new Fano cavity test for proton MC and to implement the methodology in two MC codes: Geant4 and PENELOPE extended to protons (PENH). Methods: : The new Fano test is designed to evaluate the accuracy of proton transport. Virtual particles with an energy of E 0 and a mass macroscopic cross section of Σ ρ are transported, having the ability to generate protons with kinetic energy E 0 and to be restored after each interaction, thus providing proton equilibrium. To perform the test, the authors use a simplified simulation model and rigorously demonstrate that the computed cavity dose per incident fluence must equal Σ E 0 ρ, as expected in classic Fano tests. The implementation of the test is performed in Geant4 and PENH. The geometry used for testing is a 10 × 10 cm 2 parallel virtual field and a cavity (2 × 2 × 0.2 cm 3 size) in a water phantom with dimensions large enough to ensure proton equilibrium. Results: : For conservative user‐defined simulation parameters (leading to small step sizes), both Geant4 and PENH pass the Fano cavity test within 0.1%. However, differences of 0.6% and 0.7% were observed for PENH and Geant4, respectively, using larger step sizes. For PENH, the difference is attributed to the random‐hinge method that introduces an artificial energy straggling if step size is not small enough. Conclusions: : Using conservative user‐defined simulation parameters, both PENH and Geant4 pass the Fano cavity test for proton transport. Our methodology is applicable to any kind of charged particle, provided that the considered MC code is able to track the charged particle considered.