MMC - A HIGH-PERFORMANCE MONTE-CARLO CODE FOR ELECTRON-BEAM TREATMENT PLANNING

被引:138
作者
NEUENSCHWANDER, H [1 ]
MACKIE, TR [1 ]
RECKWERDT, PJ [1 ]
机构
[1] UNIV WISCONSIN,DEPT MED PHYS,MADISON,WI 53706
关键词
D O I
10.1088/0031-9155/40/4/005
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The macro Monte Carlo (MMC) method has been developed to improve the speed of traditional Monte Carlo (Me) high-energy electron transport calculations without loss in accuracy. The MMC algorithm uses results derived from conventional Me simulations of electron transport through macroscopic spheres of various radii and consisting of a variety of media. Based on these results, electrons are transported in macroscopic steps through the absorber. The absorber geometry is represented by a three-dimensional (3D) density matrix, typically derived from computer tomographic (CT) data. Energy lost by the electrons along their paths through the absorber is scored in a 3D dose matrix. Transport of secondary electrons and bremsstrahlung photons is taken into account. Major modifications of the original implementation of the MMC algorithm have resulted in an improved version of the code, resolving earlier problems with electron transport across interfaces of different materials, and running at a substantially higher speed. Furthermore, the code has been integrated into a clinical 3D treatment planning system. MMC results are in good agreement with results from conventional MC codes and are obtained with a speed gain of about one order of magnitude for clinically relevant irradiation situations. Calculation times to obtain a relative statistical accuracy of 2% per dose grid voxel for small electron field sizes are short enough to be routinely useful in radiotherapy clinics on present day affordable workstation computers. Considering speed, accuracy and memory requirements, MMC is a promising alternative to currently available electron dose planning algorithms.
引用
收藏
页码:543 / 574
页数:32
相关论文
共 45 条
[1]   OPTIMAL ELECTRON-BEAM TREATMENT PLANNING FOR RETINOBLASTOMA USING A NEW 3-DIMENSIONAL MONTE-CARLO-BASED TREATMENT PLANNING SYSTEM [J].
ALBETERI, AA ;
RAESIDE, DE .
MEDICAL PHYSICS, 1992, 19 (01) :125-135
[2]   MONTE-CARLO TECHNIQUES IN MEDICAL RADIATION PHYSICS [J].
ANDREO, P .
PHYSICS IN MEDICINE AND BIOLOGY, 1991, 36 (07) :861-920
[3]   STOPPING-POWER RATIOS AND THEIR UNCERTAINTIES FOR CLINICAL ELECTRON-BEAM DOSIMETRY [J].
ANDREO, P ;
FRANSSON, A .
PHYSICS IN MEDICINE AND BIOLOGY, 1989, 34 (12) :1847-1861
[4]   THE RESPONSE HISTORY MONTE-CARLO METHOD FOR ELECTRON-TRANSPORT [J].
BALLINGER, CT ;
RATHKOPF, JA ;
MARTIN, WR .
NUCLEAR SCIENCE AND ENGINEERING, 1992, 112 (04) :283-295
[5]  
BERGER MJ, 1973, DOCUMENTATION RSIC C
[6]  
Bielajew A F, 1988, MONTE CARLO TRANSPOR
[8]   INCORPORATION OF SINGLE ELASTIC-SCATTERING IN THE EGS4 MONTE-CARLO CODE SYSTEM - TESTS OF MOLIERE THEORY [J].
BIELAJEW, AF ;
WANG, RQ ;
DUANE, S .
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 1993, 82 (04) :503-512
[9]  
BIELAJEW AF, 1987, NUCL INSTRUM METH B, V18, P165
[10]   A STANDARD TIMING BENCHMARK FOR EGS4 MONTE-CARLO CALCULATIONS [J].
BIELAJEW, AF ;
ROGERS, DWO .
MEDICAL PHYSICS, 1992, 19 (02) :303-304