Convolution/superposition using the Monte Carlo method
- 2 July 2003
- journal article
- research article
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 48 (14) , 2101-2121
- https://doi.org/10.1088/0031-9155/48/14/305
Abstract
The convolution/superposition calculations for radiotherapy dose distributions are traditionally performed by convolving polyenergetic energy deposition kernels with TERMA (total energy released per unit mass) precomputed in each voxel of the irradiated phantom. We propose an alternative method in which the TERMA calculation is replaced by random sampling of photon energy, direction and interaction point. Then, a direction is randomly sampled from the angular distribution of the monoenergetic kernel corresponding to the photon energy. The kernel ray is propagated across the phantom, and energy is deposited in each voxel traversed. An important advantage of the explicit sampling of energy is that spectral changes with depth are automatically accounted for. No spectral or kernel hardening corrections are needed. Furthermore, the continuous sampling of photon direction allows us to model sharp changes in fluence, such as those due to collimator tongue-and-groove. The use of explicit photon direction also facilitates modelling of situations where a given voxel is traversed by photons from many directions. Extra-focal radiation, for instance, can therefore be modelled accurately. Our method also allows efficient calculation of a multi-segment/multi-beam IMRT plan by sampling of beam angles and field segments according to their relative weights. For instance, an IMRT plan consisting of seven 14 × 12 cm2 beams with a total of 300 field segments can be computed in 15 min on a single CPU, with 2% statistical fluctuations at the isocentre of the patient's CT phantom divided into 4 × 4 × 4 mm3 voxels. The calculation contains all aperture-specific effects, such as tongue and groove, leaf curvature and head scatter. This contrasts with deterministic methods in which each segment is given equal importance, and the time taken scales with the number of segments. Thus, the Monte Carlo superposition provides a simple, accurate and efficient method for complex radiotherapy dose calculations.Keywords
This publication has 22 references indexed in Scilit:
- Monte Carlo calculation of nine megavoltage photon beam spectra using the BEAM codeMedical Physics, 2002
- A generic off-axis energy correction for linac photon beam dosimetryMedical Physics, 1998
- Correcting kernel tilting and hardening in convolution/superposition dose calculations for clinical divergent and polychromatic photon beamsMedical Physics, 1997
- Investigation of the convolution method for polyenergetic spectraMedical Physics, 1993
- Beam hardening of 10 MV radiotherapy X-rays: analysis using a convolution/superposition methodPhysics in Medicine & Biology, 1990
- The effect of secondary electron spread on the penumbra in high energy photon beam therapyThe British Journal of Radiology, 1990
- Pitfalls in the use of high energy X rays to treat tumors in the lungInternational Journal of Radiation Oncology*Biology*Physics, 1990
- Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous mediaMedical Physics, 1989
- Generation of photon energy deposition kernels using the EGS Monte Carlo codePhysics in Medicine & Biology, 1988