• DocumentCode
    1866569
  • Title

    Intensity integrated Laplacian algorithm for human metaphase chromosome centromere detection

  • Author

    Arachchige, A.S. ; Samarabandu, Jagath ; Rogan, P.K. ; Knoll, J.H.M.

  • Author_Institution
    Image Recognition & Intell. Syst. Lab., Univ. of Western Ontario, London, ON, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Centromere localization in human metaphase chromosomes is an essential task in many cytogenetic diagnosis procedures. The centromere location can be utilized to derive information such as the chromosome type, polarity assignment etc. Methods available in literature yield unreliable results mainly due to high variability of morphology in metaphase chromosomes and boundary noise in the image. In this paper we have proposed a multi-staged algorithm which utilizes both contour information as well as intensity information to obtain a more accurate centromere location. The width information along the axis of symmetry is obtained using a novel Laplacian based thickness measurement algorithm. The proposed method was observed to be more accurate compared to the state of the art when tested with 226 human metaphase chromosomes.
  • Keywords
    biomedical optical imaging; cellular biophysics; medical image processing; molecular biophysics; molecular configurations; optical microscopy; Laplacian based thickness measurement algorithm; centromere detection; centromere localization; chromosome type; contour information; cytogenetic diagnosis procedures; human metaphase chromosome centromere; image boundary noise; intensity information; intensity integrated Laplacian algorithm; metaphase chromosome morphology; multistaged algorithm; polarity assignment; Biological cells; Humans; Laplace equations; Noise; Standards; Thickness measurement; Vectors; Centromere detection; Laplacian based thickness measurement; chromosome analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334866
  • Filename
    6334866