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Comparative Study
. 2012 Oct 21;57(20):6381-93.
doi: 10.1088/0031-9155/57/20/6381. Epub 2012 Sep 21.

Comparison of MCNPX and Geant4 proton energy deposition predictions for clinical use

Affiliations
Comparative Study

Comparison of MCNPX and Geant4 proton energy deposition predictions for clinical use

U Titt et al. Phys Med Biol. .

Abstract

Several different Monte Carlo codes are currently being used at proton therapy centers to improve upon dose predictions over standard methods using analytical or semi-empirical dose algorithms. There is a need to better ascertain the differences between proton dose predictions from different available Monte Carlo codes. In this investigation Geant4 and MCNPX, the two most-utilized Monte Carlo codes for proton therapy applications, were used to predict energy deposition distributions in a variety of geometries, comprising simple water phantoms, water phantoms with complex inserts and in a voxelized geometry based on clinical CT data. The Gamma analysis was used to evaluate the differences of the predictions between the codes. The results show that in all the cases the agreement was better than clinical acceptance criteria.

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Figures

Figure 1
Figure 1
Example longitudinal and lateral energy deposition profiles calculated with Geant4 and with MCNPX, also showing the respective results of the Gamma analysis.
Figure 2
Figure 2
Lateral and longitudinal energy deposition profiles in the complex phantom geometry. The lateral profiles shown in Figures 2a and 2c, as well as the longitudinal profiles (Figure 2e) show excellent agreement, as can be seen from the Gamma index analysis data given in Figure 2b, d and f.
Figure 3
Figure 3
Example of results of the dose prediction in a coronal slice of the CT geometry using (a.) MCNPX and (b.) Geant4 (values in MeV cm−3 per source particle). (c.) 2D Gamma analysis of energy deposition in a CT geometry representing a patient. Acceptance criteria were 2% and 2 mm in this case. White points were those with Γ > 1, i.e., points which failed. The CT image indicates the field size and direction of the proton beams.
Figure 4
Figure 4
Statistics of Gamma analysis results of the lateral profile comparisons at various depths for all water phantom cases investigated.
Figure 5
Figure 5
Statistics of Gamma analysis results of the longitudinal energy deposition profile comparisons of all water phantom cases.
Figure 6
Figure 6
Example of relative uncertainties, σ, of the 200 MeV proton simulation through an 8cm thick HBB, consistent of lung material, in a simple water phantom.

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