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Lipid metabolite peaks in pattern recognition analysis of tumour in vivo MR spectra

Record type: Article

The ability to classify spectra of tumours according to their stage and type will be essential if magnetic resonance spectroscopy (MRS) is to be used as an aid in the diagnosis of cancer. MRS data are normally classified on the basis of selected peak measurements but these may be difficult to extract automatically. We present two alternative methods of feature extraction which we used to discriminate between spectra from tumours and normal tissues. Discrimination could be achieved either using features from the whole spectrum, or from a selected region containing the peaks from the phospholipid precursors in the phosphomonoester region.

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Citation

Tate, A R, Crabb, S, Griffiths, J R, Howells, S L, Mazucco, R A, Rodrigues, L M and Watson, D (1996) Lipid metabolite peaks in pattern recognition analysis of tumour in vivo MR spectra Anticancer research, 16, (3B), pp. 1575-9. (PMID:8694529).

More information

Published date: 1996

Identifiers

Local EPrints ID: 171705
URI: http://eprints.soton.ac.uk/id/eprint/171705
ISSN: 0250-7005
PURE UUID: 8e0b4ede-3486-43ac-aa29-a04484647119

Catalogue record

Date deposited: 19 Jan 2011 09:32
Last modified: 18 Jul 2017 12:15

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Contributors

Author: A R Tate
Author: S Crabb
Author: J R Griffiths
Author: S L Howells
Author: R A Mazucco
Author: L M Rodrigues
Author: D Watson

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