Improving the efficiency of emission tomography simulations using variance reduction techniques

IEEE Transactions on Nuclear Science

Volumn 37, Issue 2, 1990, Pages 749-753

  Haynor, D R ^a   Harrison, R L ^a   Lewellen, T K ^a   Bice, A N ^a   Anson, C P ^a   Gillispie, S B ^a   Miyaoka, R S ^a   Pollard, K R ^a   Zhu, J B ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL STATISTICS--MONTE CARLO METHODS; PHOTONS; RADIATION DETECTORS;

SINGLE PHOTON EMISSION TOMOGRAPHY (SPECT); VARIANCE REDUCTION TECHNIQUES;

BIOMEDICAL ENGINEERING;

EID: 0025418434     PISSN: 00189499     EISSN: 15581578     Source Type: Journal    
DOI: 10.1109/23.106709     Document Type: Article

References (6)

1. TK Lewellen, CP Anson, DR Haynor, RL Harrison, AN Bice, SF Schubert, RS Miyaoka, SB Gillis pie, J Zhu, “Design of a simulation system for emission tomographs,” J Nucl Med, vol. 29, p. 871, May 1988.
2. SN Cramer, J Gonnord, and JS Hendricks “Monte Carlo techniques for analyzing deep-penetration problems”, Nucl Sci Eng, vol. 92, pp. 280–288, February 1986.
3. JW Beck, RJ Jaszczak, RE Coleman, CF Starmer, and LW Nolte “Analysis of SPECT including scatter and attenuation using sophisticated Monte Carlo modeling methods”, IEEE Trans Nucl Sci, vol. NS-29, pp. 506–511, February 1982.
4. RD Evans, “The Atomic Nucleus”, New York: McGraw-Hill, 1955, pp. 672–694.
5. TE Booth, “Automatic importance estimation in forward Monte Carlo calculations”, Trans Am Nucl Soc, vol. 41, p. 308, 1982.
6. PJ Bickel and KA Doksum, “Mathematical statistics”, Oakland: Holden-Day, 1977, pp. 20–21 and p. 471.