Monte Carlo Photon and Electron Dose Calculation Time Reduction Using Local Least Square Denoising Filters.
- Author:
Kwang Ho CHEONG
1
;
Tae Suk SUH
;
Byung Chul CHO
;
Hosang JIN
Author Information
1. Department of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Korea. suhsanta@catholic.ac.kr
- Publication Type:Original Article
- Keywords:
Monte Carlo;
Statistical uncertainties;
Denoising;
Smoothing
- MeSH:
Monte Carlo Method;
Uncertainty
- From:Korean Journal of Medical Physics
2005;16(3):138-147
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
The Monte Carlo method cannot have been used for routine treatment planning because of heavy time consumption for the acceptable accuracy. Since calculation time is proportional to particle histories, we can save time by decreasing the number of histories. However, a small number of histories can cause serious uncertainties. In this study, we proposed Monte Carlo dose computation time and uncertainty reduction method using specially designed filters and adaptive denoising process. Proposed algorithm was applied to 6 MV photon and 21 MeV electron dose calculations in homogeneous and heterogeneous phantoms. Filtering time was negligible comparing to Monte Carlo simulation time. The accuracy was improved dramatically in all situations and the simulation of 1% to 10% number of histories of benchmark in photon and electron dose calculation showed the most beneficial result. The empirical reduction of necessary histories was about a factor of ten to fifty from the result.
