Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis

Author

Lisboa, Paulo J G ; Branston, Neil M. ; El-Deredy, Wael ; Vellido, Alfredo

Author_Institution

Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., UK

Volume

3

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1385

Abstract

Nuclear magnetic resonance (NMR) spectroscopy has considerable potential for non-invasive characterisation of tissue biochemistry and the diagnosis of tissue abnormalities, ranging from focal lesions in the brain, to tumours in any area of the body to assessing effect of HIV damage. However, the realisation of the full clinical potential NMR spectroscopy will depend on extracting information from the spectra directly and specifically related to the biochemistry of different tissue types under various normal and pathological circumstances. This paper reviews the progress made in the application of neural network analysis to the automatic characterisation of NMR data, raising some key issues and providing a perspective of the future of this technology

Keywords

NMR imaging; biomedical NMR; cellular biophysics; medical diagnostic computing; neural nets; pattern classification; spectral analysis; NMR spectroscopy; neural networks; nuclear magnetic resonance spectroscopy; tissue abnormality diagnosis; tissue biochemistry; tissue characterisation; Biochemistry; Biological neural networks; Chemical compounds; Data mining; Humans; Magnetic analysis; Neural networks; Nuclear magnetic resonance; Spectroscopy; Tumors;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks,1997., International Conference on

Conference_Location

Houston, TX

Print_ISBN

0-7803-4122-8

Type

conf

DOI

10.1109/ICNN.1997.613996

Filename

613996