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Improved approach to boundary location in two-dimensional echocardiographic images

Ruiz, E.E.S., Fairhurst, Michael (1995) Improved approach to boundary location in two-dimensional echocardiographic images. IEE Proceedings: Vision Image and Signal Processing, 142 (3). pp. 121-127. ISSN 1350-245X. (doi:10.1049/ip-vis:19951941) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:19004)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1049/ip-vis:19951941

Abstract

The widespread utilisation of digital two-dimensional echocardiography has led to an increasing interest in the possibility of automated analysis of the images using this technique. For quantitative analysis of cardiac function the detection of the endocardium and epicardium is of considerable importance yet, particularly in certain key views, most conventional edge finding algorithms can be easily undermined because of the poor quality of the images and the appearance of irrelevant structures within the viewing area. The authors describe a new approach to boundary detection which, while based principally on a radial search technique, extends the conventional analysis through the addition of further contour analysis in two preprocessed images. The algorithms are described in detail and results are presented to illustrate the advantageous features of the approach proposed.

Item Type: Article
DOI/Identification number: 10.1049/ip-vis:19951941
Uncontrolled keywords: BOUNDARY LOCATION; ECHOCARDIOGRAPHY
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: I.T. Ekpo
Date Deposited: 30 May 2009 19:16 UTC
Last Modified: 16 Nov 2021 09:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/19004 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

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