Title :
Application of artificial neural networks for tissue classification from multispectral magnetic resonance images of the head
Author :
Schellenberg, John D. ; Naylor, William C. ; Clarke, Laurence P.
Author_Institution :
Univ. of South Florida, Tampa, FL, USA
Abstract :
The suitability of artificial neural networks (ANNs) for the classification of multispectral magnetic resonance images (MSMRI) is explored. MSMRI feature space distributions of various tissues and phantoms were examined to determine if the data is more suitable for ANN classification, as opposed to classical Bayesian approaches for intensity-based classification. Additionally, MSMRI normalization methods were investigated to determine suitability for improving feature space distributions independent of classification methods
Keywords :
biomedical NMR; medical diagnostic computing; neural nets; artificial neural networks; classical Bayesian approaches; feature space distributions; head; intensity-based classification; multispectral magnetic resonance images; normalization methods; phantoms; tissue classification; Artificial neural networks; Bayesian methods; Coils; Head; High-resolution imaging; Image resolution; Imaging phantoms; Magnetic resonance imaging; Radio frequency; Statistical distributions;
Conference_Titel :
Computer-Based Medical Systems, 1990., Proceedings of Third Annual IEEE Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-8186-9040-2
DOI :
10.1109/CBMSYS.1990.109419
