Skip Navigation

European Heart Journal 1995 16(Supplement J):35-41; doi:10.1093/eurheartj/16.suppl_J.35
Copyright © 1995 by the European Society of Cardiology.
This Article
Right arrow Full Text (PDF)
Right arrow E-letters: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when E-letters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Bosch, J. G.
Right arrow Articles by Helbing, W. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bosch, J. G.
Right arrow Articles by Helbing, W. A.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 1995 The European Society of Cardiology

Automated contour detection and acoustic quantification

J. G. Bosch, J. H. C. Reiber, G. van Burken, L. Savalle*, E. Maurincomme and W. A. Helbing{dagger}

Laboratory for Clinical and Experimental Image Processing Department of Diagnostic Radiology The Netherlands
* Department of Cardiology, Leiden University Hospital The Netherlands
{dagger} Department of Pediatric Cardiology, Leiden University Hospital The Netherlands

Correspondence: Johan H. C. Reiber, PhD. FESC, Laboratory for Clinical and Experimental Image Processing, Department of Diagnostic Radiology, Leiden University Hospital, P.O. Box 9600, 2300 RC Leiden, The Netherlands

Echocardiographic left and right ventricular sequences are usually interpreted visually, but current quantitation techniques have been found to be tedious, time-consuming and associated with significant inter- and intra-observer variabilities. In an attempt to eliminate these problems, we have developed the Echocardiographic Analysis System (EAS) which uses robust automated border detection techniques both for single frames as well as for sequences. Comparison of LV cross-sectional area with the semi-automated border detection (AUTO) and those assessed from manual tracings (MAN) yielded a systematic difference (MAN-AUTO) of –6.6% (p < 0·001), and a random difference (standard deviation of paired signed differences) of 11.8%. Current developments are directed towards real-time automated border detection with an Accelerator board, integration of Acoustic Quantification (AQ) data as edge information into EAS, and intravascular echocardiographic applications.

Key Words: Quantitative echocardiography • automated border detection • left ventricular function • acoustic quantification


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.