• 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