• DocumentCode
    1816546
  • Title

    A shape analysis method to detect dendritic spine in 3D optical microscopy image

  • Author

    Xu, Xiaoyin ; Cheng, Jie ; Witt, Rochelle M. ; Sabatini, Bernardo L. ; Wong, Stephen T C

  • Author_Institution
    Harvard Center for Neurodegeneration & Repair, Harvard Med. Sch., Boston, MA
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    554
  • Lastpage
    557
  • Abstract
    Dendritic spines play an important role in synaptic transmission. Spines are small protrusions formed on the shafts of dendrites and they are manifest of many neurological conditions. Three dimensional images of dendrites and spines are obtained by confocal and two-photon laser scanning microscopy. We present an image processing method based on shape analysis to detect spines and separate spines from the dendrites for quantitative study. The method applies two grassfire procedures to first find the tips of spines and then reversely locate the boundary between spines and dendrites. The boundary is determined as the propagation front that undergoes the maximum change in plane area of the grassfire procedure. We use real data to demonstrate the performance of the method
  • Keywords
    biomedical optical imaging; cellular biophysics; laser applications in medicine; medical image processing; neurophysiology; optical microscopy; two-photon processes; 3D optical microscopy image; confocal microscopy; dendritic spine detection; grassfire procedures; image processing; neurological conditions; shape analysis; synaptic transmission; two-photon laser scanning microscopy; Biomedical imaging; Deconvolution; Image analysis; Image processing; Image restoration; Image segmentation; Neurotransmitters; Optical microscopy; Shafts; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1624976
  • Filename
    1624976