Cart (Loading....) | Create Account
Close category search window
 

Left ventricular contour detection: a fully automated approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
van der Zwet, P.N.J. ; Dept. of Diagnostic Radiol., Univ. Hospital, Leiden, Netherlands ; Koning, G. ; Reiber, J.H.C.

An automated approach for the detection of the left ventricular outline in a selected frame is described. The system uses a combination of algorithms to detect a rough model of the left ventricular contour. The first algorithm, a pyramidal segmentation algorithm, segments the image into a relatively large number of homogeneous areas. The second algorithm uses a neural network to select the areas that most likely belong to the left ventricle. After model detection, the actual contour is found by dynamic programming. The position of the aortic valve is assessed from the shape of the detected contour

Published in:

Computers in Cardiology 1992, Proceedings of

Date of Conference:

11-14 Oct 1992

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.