• DocumentCode
    2815708
  • Title

    An image registration approach using genetic algorithms

  • Author

    Valsecchi, A. ; Damas, S. ; Santamaria, J.

  • Author_Institution
    Eur. Centre for Soft Comput., Mieres, Spain
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We introduce a new intensity-based image registration (IR) technique based on a modern, real-coded genetic algorithm. Our proposal is tested on 16 registration scenarios involving real-world MRI medical images. A novel methodological framework to compare heterogeneous IR algorithms is also described. Following such methodology, our algorithm is compared with four well-known IR techniques of different natures. The proposed method is able to improve the results of these techniques in the majority of the scenarios.
  • Keywords
    biomedical MRI; genetic algorithms; image registration; genetic algorithms; heterogeneous IR algorithms; intensity-based image registration IR technique; real-coded genetic algorithm; real-world MRI medical images; Correlation; Feature extraction; Genetic algorithms; Image registration; Magnetic resonance imaging; Measurement; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2012 IEEE Congress on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-1510-4
  • Electronic_ISBN
    978-1-4673-1508-1
  • Type

    conf

  • DOI
    10.1109/CEC.2012.6256162
  • Filename
    6256162