Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10542
Title: Implementation of cellular neural networks in image preprocessing for left ventricular filling velocity evaluation
Authors: Stanić Molcer P.
Paskaš M.
Delić, Vlado 
Reljin B.
Issue Date: 30-Dec-2010
Journal: SIISY 2010 - 8th IEEE International Symposium on Intelligent Systems and Informatics
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. ©2010 IEEE.
URI: https://open.uns.ac.rs/handle/123456789/10542
ISBN: 9781424473946
DOI: 10.1109/SISY.2010.5647136
Appears in Collections:FTN Publikacije/Publications

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