DocumentCode :
3473512
Title :
Search algorithm of a maximum rectangular region for object description
Author :
Chizaki, Motoi ; Ogawa, Koichi
Author_Institution :
Coll. of Eng., Hosei Univ., Tokyo, Japan
Volume :
3
fYear :
2000
fDate :
2000
Abstract :
Monte Carlo methods are becoming important in evaluating data correction methods in nuclear medicine. In the Monte Carlo methods, time-consuming calculations are required to determine the path length of a photon in an object that is composed of several media with complicated boundaries. Object modeling is therefore important for performing photon transport efficiently. The authors have proposed a new algorithm called the maximum rectangular region (MRR) method. The results of simulation showed that the calculation time in MRR was about from 30% to 50% of that in the conventional algorithm. But the disadvantage with this algorithm is that it takes too long a calculation time to decide MRR for each voxel. In this paper the authors propose a new method by using a genetic algorithm to decide the MRR for each voxel. The results showed that the calculation time could be reduced by 30% of the conventional algorithm
Keywords :
Monte Carlo methods; genetic algorithms; medical image processing; single photon emission computed tomography; SPECT; data correction methods evaluation; efficient photon transport; maximum rectangular region; media with complicated boundaries; medical diagnostic imaging; nuclear medicine; object description; object modeling; search algorithm; Attenuation; Biomedical informatics; Educational institutions; Electromagnetic scattering; Genetic algorithms; Medical simulation; Nuclear electronics; Nuclear medicine; Particle scattering; Single photon emission computed tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2000 IEEE
Conference_Location :
Lyon
ISSN :
1082-3654
Print_ISBN :
0-7803-6503-8
Type :
conf
DOI :
10.1109/NSSMIC.2000.949318
Filename :
949318
Link To Document :
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