• DocumentCode
    617505
  • Title

    Improved automatic centerline tracing for dendritic structures

  • Author

    Jimenez, Daniel ; Papadakis, Mike ; Labate, Demetrio ; Kakadiaris, Ioannis A.

  • Author_Institution
    Dept. of Math., Univ. of Houston, Houston, TX, USA
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    1050
  • Lastpage
    1053
  • Abstract
    Centerline tracing of dendritic structures in confocal images of neurons is an essential tool for the construction of a geometric representation of a neuronal network. In this paper, we propose a novel algorithm (ORION 2) for centerline extraction that is both highly accurate and computationally efficient. The main novelty of the proposed method is the use of a small set of Multiscale Isotropic Laplacian filters for a fast and efficient binarization of the dendritic structure.The performance of this algorithm, which is validated using datasets from DIADEM is shown to be very competitive against other state-of-the-art algorithms.
  • Keywords
    biological techniques; biology computing; digital filters; feature extraction; image processing; image segmentation; neural nets; neurophysiology; optical microscopy; DIADEM datasets; ORION 2 algorithm; automatic centerline tracing; computationally efficient centerline extraction algorithm; dendritic structure binarization; dendritic structures; high accuracy centerline extraction algorithm; multiscale isotropic Laplacian filters; neuron confocal images; neuronal network geometric representation; Biomedical imaging; Laplace equations; Measurement; Microscopy; Neurons; Solids; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556658
  • Filename
    6556658