THE USE OF IMPORTANCE SAMPLING TECHNIQUES TO IMPROVE THE EFFICIENCY OF PHOTON TRACKING IN EMISSION TOMOGRAPHY SIMULATIONS

被引：92

作者：

HAYNOR, DR

HARRISON, RL

LEWELLEN, TK

机构：

[1] Department of Radiology, University of Washington, Seattle, Washingtor

来源：

MEDICAL PHYSICS | 1991年 / 18卷 / 05期

关键词：

D O I：

10.1118/1.596615

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Monte Carlo simulations are widely used to study the transmission and scattering of gamma-rays. Use of this method for simulations of emission tomographs suffers from geometric inefficiency resulting from the low solid angle of acceptance of most tomograph designs. We have applied several importance sampling techniques-stratification, forced detection, and weight control through Russian roulette and splitting-to increase the computational efficiency of the Monte Carlo method 10- to 300-fold. A description of these techniques, their validation, and sample performance results are given. Application of importance sampling methods makes it practical to study photon scattering in heterogeneous attenuators on workstations and minicomputers.

引用

页码：990 / 1001

页数：12

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