Title :
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
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;
Conference_Titel :
Bioengineering Conference, 1993., Proceedings of the 1993 IEEE Nineteenth Annual Northeast
Conference_Location :
Newark, NJ
Print_ISBN :
0-7803-0925-1
DOI :
10.1109/NEBC.1993.404397
