• DocumentCode
    2566428
  • Title

    A Novel TechnIque for Identification of Partially Hidden Metaphase Chromosomes

  • Author

    Vaidyanathan, S. Ganesh ; Kumaravel, N. ; Kar, Bibhas

  • Author_Institution
    Dept. of ECE, Sri Venkateswara Coll. of Eng., Sriperumbudur, India
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    18
  • Lastpage
    22
  • Abstract
    Karyotyping is the process of identifying and arranging chromosomes in a proper order such that the resulting arrangement helps the geneticist in the identification of missing and structurally improper chromosomes, which in turn helps in arriving at genetic factors associated with diagnosis of diseases.Though there are lot of software packages available to perform automatic karyotyping, the accuracy of these are severely limited by the presence of occlusion. In the event of occlusion, manual intervention is required to finish the process of karyotyping which consumes more time. Taking into account this main limitation faced by the automatic karyotyping programs, a novel technique has been developed to identify chromosomes even in the presence of occlusion. The technique makes use of the evolutionary algorithm at a micro level by extracting a population from the image of occluded chromosomes and by doing the operations such as selection, crossover, mutation and reinsertion on the population. The hidden chromosomes are found out after certain number of generations. The number of generations before the result is arrived and the probability of detection depends on the amount of occlusion. The technique works well even if the occlusion is mutual, that is, when both objects occlude each other and even if 90% of the chromosome is hidden.
  • Keywords
    cellular biophysics; diseases; evolutionary computation; feature extraction; genetics; medical image processing; chromosome arrangement; chromosome identification; disease diagnosis; evolutionary algorithm; genetics; image extraction; karyotyping; metaphase chromosome; occluded chromosome; population crossover; population mutation; population reinsertion; population selection; Biological cells; Biomedical engineering; Biomedical imaging; Diseases; Educational institutions; Evolutionary computation; Genetic algorithms; Genetic engineering; Shape; Signal processing; Extent of occlusion; Micro GA; Partially Hidden Chromosomes; Similarity Index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    2009 International Conference on Signal Processing Systems
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3654-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2009.10
  • Filename
    5166738