Endocardial Border Detection in Contrast Enhanced Echocardiographic Cineloops Using a Pulse Coupled Neural Network

Authors

James Wolfer, Andrews UniversityFollow
S. H. Lee, Illinois Institute of Technology
J. Sandelski, Rush Medical College
Rodney Lee Summerscales, Andrews UniversityFollow
J. Soble, Rush Medical College
J. Robergé, Illinois Institute of Technology

Document Type

Conference Proceeding

Publication Date

12-1-1999

Abstract

Endocardial border detection is a crucial step for the quantitative analysis of overall and regional left ventricular function from echocardiographic images. Echocardiographic contrast agents with transpulmonary passage are being used increasingly in clinical practice for left ventricular cavity opacification. We investigate the feasibility of using pulse coupled neural networks to identify the left ventricular endocardial border in contrast-enhanced echocardiographic cineloops.

Journal Title

Computers in Cardiology

First Page

185

Last Page

188

First Department

Computing

Recommended Citation

Wolfer, James; Lee, S. H.; Sandelski, J.; Summerscales, Rodney Lee; Soble, J.; and Robergé, J., "Endocardial Border Detection in Contrast Enhanced Echocardiographic Cineloops Using a Pulse Coupled Neural Network" (1999). Faculty Publications. 2498.
https://digitalcommons.andrews.edu/pubs/2498