Title :
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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Computers in Cardiology, 1999
Conference_Location :
Hannover
Print_ISBN :
0-7803-5614-4
DOI :
10.1109/CIC.1999.825937
