• DocumentCode
    3633705
  • Title

    Texture analysis in application to quantitative study of 3D vascular tree images

  • Author

    Artur Klepaczko;Marek Kocinski;Andrzej Materka;Martha Chekenya;Arvid Lundervold

  • Author_Institution
    Medical Electronics Division, Institute of Electronics, Technical University of Lodz, ul. Wolczanska 211/215, PL-90924, Poland
  • fYear
    2009
  • Firstpage
    730
  • Lastpage
    735
  • Abstract
    It has been demonstrated recently by the authors that texture analysis of 3D images of vascular trees can be used to describe the trees quantitatively (see References section). Computer-simulated trees and their raster images were used in that study. This paper presents experimental confirmation of the findings using supervised and unsupervised classification methods.
  • Keywords
    "Image analysis","Image texture analysis","Image resolution","Arteries","Veins","Signal processing algorithms","Biomedical imaging","Computer architecture","Magnetic resonance imaging","Biomedical measurements"
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on
  • ISSN
    1845-5921
  • Print_ISBN
    978-953-184-135-1
  • Type

    conf

  • DOI
    10.1109/ISPA.2009.5297639
  • Filename
    5297639