• DocumentCode
    3639014
  • Title

    Implementation of cellular neural networks in image preprocessing for left ventricular filling velocity evaluation

  • Author

    P. Stanić Molcer;M. Paskaš;V. Delić;B. Reljin

  • Author_Institution
    College of Applied Sciences SuboticaTech/Department of Informatics, Subotica, Serbia
  • fYear
    2010
  • Firstpage
    569
  • Lastpage
    573
  • Abstract
    Beside the measurement of flow velocity through mitral valve by pulsed Doppler, and measurement of velocity of myocardium by tissue Doppler imaging, estimation of diastolic function of left ventricle can also be made by measuring velocity of propagation of vortex using color Doppler M-mod imaging. Automated measurement has not become a practice yet because different methods produce different results and there has not been achieved a consensus about method to be applied. The goal of our research is to investigate the possibility of enchancement in automated estimation of propagation of left ventricular filling by implementing cellular neural network (CNN) in image preprocessing phase.
  • Keywords
    "Wiener filter","Adaptive filters","Filling","Doppler effect","Filtering algorithms","Image color analysis","Blood"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics (SISY), 2010 8th International Symposium on
  • Print_ISBN
    978-1-4244-7394-6
  • Type

    conf

  • DOI
    10.1109/SISY.2010.5647136
  • Filename
    5647136