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

Author

Wolfer ; Lee, SH ; Sandelski, J. ; Summerscales, R. ; Soble, J. ; Roberge, J.

Author_Institution

Dept. of Comput. Sci., Andrews Univ., Berrien Springs, MI, USA

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

185

Lastpage

188

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

Keywords

cinematography; echocardiography; edge detection; medical image processing; neural nets; contrast-enhanced echocardiographic cineloops; echocardiographic contrast agents; echocardiographic images; endocardial border detection; left ventricular cavity opacification; left ventricular endocardial border; pulse coupled neural networks; quantitative analysis; regional left ventricular function; transpulmonary passage; Active shape model; Artificial neural networks; Biological system modeling; Computer science; Image edge detection; Joining processes; Neural networks; Neurons; Pixel; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 1999

Conference_Location

Hannover

ISSN

0276-6547

Print_ISBN

0-7803-5614-4

Type

conf

DOI

10.1109/CIC.1999.825937

Filename

825937