Endocardial border detection in contrast enhanced echocardiographic cineloops using a pulse coupled neural network

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 opa...

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Bibliographic Details
Main Authors: Wolfer, J., Lee, S.H., Sandelski, J., Summerscales, R., Soble, J., Roberge, J.
Format: Conference Proceeding
Language:English
Subjects:
Active shape model
Artificial neural networks
Biological system modeling
Computer science
Image edge detection
Joining processes
Neural networks
Neurons
Pixel
USA Councils
Online Access:Request full text
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Summary: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.
ISSN:0276-6547
DOI:10.1109/CIC.1999.825937