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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2468133