• DocumentCode
    3762022
  • Title

    Automatic identification of chromosomal abnormalities in metaphase karyotype using paired images in human chromosomes

  • Author

    Saeid Abbase;Hassan Khotanlou;Mahlagha Afrasiabi;Atefeh Asgari

  • Author_Institution
    Department of Computer Engineering, Islamic Azad University
  • fYear
    2015
  • Firstpage
    762
  • Lastpage
    769
  • Abstract
    Identification of chromosomal abnormalities is necessary part of diagnosis and treatment of genetic disorders and some cancers. Cytogenetic is a preferred tool in the diagnosis of genetic diseases. In cytogenetic, karyotype which is a systematic representation of human chromosomes is obtained through imaging a nucleus of cell using optical microscopes. And undergoes an analysis in which chromosomes are sorted based on morphological features. At presents this analysis is carried by lab technician through eye technique which is time-consuming and prone to error. This research aims to find automatic identification of chromosomal abnormalities in human karyotypes. The main step in main automation of this method is to define some morphological features for each chromosome. In this method, we can find the presence or absence of abnormalities or chromosomal deviations by determining the position of centromere automatically with length, the ratio of short arm to long arm of each chromosome and its comparison with the range of standard deviation in normal chromosome. This method was tested on 40 karyotype images of patients and all types of abnormalities were detected in human karyotypes, except for cases of displaced abnormality between two pieces of chromosome with similar size in two similar arms (P or q).
  • Keywords
    "Decision support systems","Filtering","Skeleton","Biological cells"
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Engineering and Innovation (KBEI), 2015 2nd International Conference on
  • Type

    conf

  • DOI
    10.1109/KBEI.2015.7436140
  • Filename
    7436140