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
Link To Document :
بازگشت