Concavity degree: A new feature for chromosome centromere localization

Mohammadi, M. R ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/AISP.2012.6313718
  3. Publisher: 2012
  4. Abstract:
  5. Analyzing the features of the chromosomes can be very useful for diagnosis of many genetic disorders or prediction of the possible abnormalities that may occur in the future generations. For this purpose, karyotype is often used which to make it, there is necessary to identify each one of the 24 chromosomes from the microscopic images. Definition and extraction of the morphological and band pattern based features for each chromosome is the first step to identify them. An important class of the morphological features is the location of the chromosome's centromere. Thus, centromere localization is an initial step in designing an automatic karyotyping system. In this paper, a novel algorithm for centromere localization is presented. The procedure is based on the calculation and analyzing the concavity degree for the boundary pixels of the chromosomes. In this method, the centerline of the chromosome is computed and the score of each pixel on the centerline is considered as the sum of the concavity degree of two pixels on the chromosome's boundary that are perpendicular to it. Finally, location of the centromere is estimated as one pixel on the centerline which is corresponding to the maximum score. When applied the proposed algorithm on 50 images, an average error of 2.25 pixels for centromere localization is achieved
  6. Keywords:
  7. Centerline ; Chromosome's Centromere ; Polynomial Fitting ; Average errors ; Band patterns ; Centerlines ; Concavity Degree ; Future generations ; Genetic disorders ; Karyotyping ; Maximum score ; Microscopic image ; Morphological features ; Novel algorithm ; Polynomial fittings ; Algorithms ; Artificial intelligence ; Pixels ; Signal processing ; Chromosomes
  8. Source: AISP 2012 - 16th CSI International Symposium on Artificial Intelligence and Signal Processing ; 2012 , Pages 58-63 ; 9781467314794 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6313718