A new neural network algorithm to study myocardial reflected ultrasound for tissue characterization

Author

Yi, Cheng ; Micheli-Tzanakou, E. ; Shindler, D. ; Kostis, J.

Author_Institution

Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA

fYear

1993

fDate

18-19 Mar 1993

Firstpage

109

Lastpage

110

Abstract

It is pointed out that ultrasonic myocardial tissue characterization is a promising approach to diagnose myocardial infarction since the acoustic properties of myocardial tissue are altered by the disease. Echocardiographic images are digitized to study ultrasound backscatter for tissue characterization. Neural network analysis is a successful approach to tissue characterization. A structure consisting of a multilayer perceptron combined with the feedback algorithm ALOPEX is proposed

Keywords

acoustic signal processing; echocardiography; medical expert systems; medical image processing; multilayer perceptrons; ALOPEX; echocardiographic images; feedback algorithm; multilayer perceptron; myocardial infarction; myocardial reflected ultrasound; neural network algorithm; tissue characterization; ultrasound backscatter; Biomedical engineering; Convergence; Hospitals; Multilayer perceptrons; Myocardium; Neural networks; Neurons; Optical imaging; Polynomials; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1993., Proceedings of the 1993 IEEE Nineteenth Annual Northeast

Conference_Location

Newark, NJ

Print_ISBN

0-7803-0925-1

Type

conf

DOI

10.1109/NEBC.1993.404397

Filename

404397