Commissioning a fast Monte Carlo dose calculation algorithm for lung cancer treatment planning.

Journal of Applied Clinical Medical Physics
Jeff CraigEugene Wong

Abstract

A commercial Monte Carlo simulation package, NXEGS 1.12 (NumeriX LLC, New York, NY), was commissioned for photon-beam dose calculations. The same sets of measured data from 6-MV and 18-MV beams were used to commission NXEGS and Pinnacle 6.2b (Philips Medical Systems, Andover, MA). Accuracy and efficiency were compared against the collapsed cone convolution algorithm implemented in Pinnacle 6.2b, together with BEAM simulation (BEAMnrc 2001: National Research Council of Canada, Ottawa, ON). We investigated a number of options in NXEGS: the accuracy of fast Monte Carlo, the re-implementation of EGS4, post-processing technique (dose de-noising algorithm), and dose calculation time. Dose distributions were calculated with NXEGS, Pinnacle, and BEAM in water, lung-slab, and air-cylinder phantoms and in a lung patient plan. We compared the dose distributions calculated by NXEGS, Pinnacle, and BEAM. In a selected region of interest (7725 voxels) in the lung phantom, all but 1 voxel had a gamma (3% and 3 mm thresholds) of 1 or less for the dose difference between the NXEGS re-implementation of EGS4 and BEAM, and 99% of the voxels had a gamma of 1 or less for the dose difference between NXEGS fast Monte Carlo and BEAM. Fast Monte Carlo wi...Continue Reading

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Citations

Dec 9, 2016·Journal of Applied Clinical Medical Physics·Moti R PaudelBrian M Keller
Apr 4, 2012·Physics in Medicine and Biology·Michael D JensenEugene Wong
May 7, 2020·Radiation Oncology·Christopher KurzMarco Riboldi
Nov 26, 2009·Medical Physics·Niko Papanikolaou, Sotirios Stathakis

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Software Mentioned

NXEGS
Pinnacle
BEAMnrc
NX
BEAM
Computational Environment for Radiotherapy Research
EGS4
NumeriX
CCC
FMC

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