• DocumentCode
    607642
  • Title

    A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images

  • Author

    Erdil, E. ; Argunsah, A.O. ; Unay, D. ; Cetin, M.

  • Author_Institution
    Muhendislik ve Doga Bilimleri Fak., Sabanci Univ., İstanbul, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Analysing morphological and volumetric properties of dendritic spines from 2-photon microscopy images has been of interest to neuroscientists in recent years. Developing robust and reliable tools for automatic analysis depends on the segmentation quality. In this paper, we propose a new segmentation algorithm for dendritic spine segmentation based on watershed and active contour methods. First, our proposed method coarsely segments the dendritic spine area using the watershed algorithm. Then, these results are further refined using a region-based active contour approach. We compare our results and the results of existing methods in the literature to manual delineations of a domain expert. Experimental results demonstrate that our proposed method produces more accurate results than the existing algorithms proposed for dendritic spine segmentation.
  • Keywords
    edge detection; image segmentation; medical image processing; neurophysiology; 2-photon microscopy images; active contours based method; dendritic spine area; dendritic spine segmentation; dendritic spines; morphological properties; neuroscientists; region-based active contour approach; volumetric properties; watershed method; Active contours; Algorithm design and analysis; Electronic mail; Image analysis; Image segmentation; Microscopy; Proteins; Active contours; Dendritic spine segmentation; Neural image analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531263
  • Filename
    6531263