Progress in Medical Physics (한국의학물리학회지:의학물리)
- Volume 16 Issue 3
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- Pages.138-147
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- 2005
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- 2508-4445(pISSN)
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- 2508-4453(eISSN)
Monte Carlo Photon and Electron Dose Calculation Time Reduction Using Local Least Square Denoising Filters
국소 최소자승 잡음 감소 필터를 이용한 광자선 및 전자선 몬테칼로 선량 계산 시간 단축
- Cheong Kwang-Ho (Department of Biomedical Engineering, College of Medicine. Department of Biomedical Engineering, College of Medicine.) ;
- Suh Tae-Suk (Department of Biomedical Engineering, College of Medicine. Department of Biomedical Engineering, College of Medicine.) ;
- Cho Byung-Chul (Department of Radiation Oncology, Hallym University College of Medicine) ;
- Jin Hosang (Department of Radiation Oncology. University of Florida)
- Published : 2005.09.01
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
몬테칼로 선량계산 시 적절한 정확도를 얻기 위해서는 계산입자수를 늘려야 하고 그로 인해 계산 시간이 오래 걸리게되므로 일상적 치료계획의 선량계산 방법으로 이용되지 못했다. 본 연구에서는 몬테칼로 모의실험 시 계산입자 수를 줄여서 선량계산을 수행한 후 잡음 감소 필터를 적용하여 선량계산 결과를 개선하고자 하였다. 이를 위해 국소 최소자승 잡음 감소 필터를 제작하고 광자선 및 전자선 균질/비균질 팬텀 내 선량계산 결과에 대하여 적용하여 선택적 여과를 수행하였으며 그 유효성을 등선량 곡선 비교 및 감마시험을 통하여 검증하였다. 연구 결과 통계적 불확실도를 2