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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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
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creator Wolfer, J.
Lee, S.H.
Sandelski, J.
Summerscales, R.
Soble, J.
Roberge, J.
description 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.
doi_str_mv 10.1109/CIC.1999.825937
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Active shape model
Artificial neural networks
Biological system modeling
Computer science
Image edge detection
Joining processes
Neural networks
Neurons
Pixel
USA Councils
title Endocardial border detection in contrast enhanced echocardiographic cineloops using a pulse coupled neural network
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