DocumentCode :
2468133
Title :
Detection of echocardiographic left ventricle boundaries using neural networks
Author :
Hunter, I.A. ; Soraghan, J.J. ; Christie, J. ; Durrani, T.S.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
fYear :
1993
fDate :
5-8 Sep 1993
Firstpage :
201
Lastpage :
204
Abstract :
Presents a new implementation of the radial search algorithm for the detection of left ventricle boundaries in short axis mid-papillary muscle echocardiographic images, using two cascaded artificial neural networks and a snake energy minimising function to create the final contour. The neural networks are used as statistical classifiers to give a probability measure of their classifications
Keywords :
echocardiography; edge detection; medical image processing; cascaded artificial neural networks; classification probability measure; echocardiographic left ventricle boundaries detection; final contour creation; medical diagnostic imaging; radial search algorithm implementation; short axis midpapillary muscle echocardiographic images; snake energy minimising function; statistical classifiers; Artificial neural networks; Echocardiography; Function approximation; Image edge detection; Image processing; Motion measurement; Muscles; Neural networks; Probability; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
Type :
conf
DOI :
10.1109/CIC.1993.378469
Filename :
378469
Link To Document :
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