The University of Southampton
University of Southampton Institutional Repository

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

Lipid metabolite peaks in pattern recognition analysis of tumour in vivo MR spectra
Lipid metabolite peaks in pattern recognition analysis of tumour in vivo MR spectra
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.
0250-7005
1575-9
Tate, A R
ecba440b-0a74-40cd-b88e-576797f1cc48
Crabb, S
bcd1b566-7677-4f81-8429-3ab0e85f8373
Griffiths, J R
d5ac70af-4b98-423f-b06b-fcb3211d6d67
Howells, S L
84c7e4b0-9865-4fc8-b342-67af183e9e19
Mazucco, R A
083ee178-ba26-4cf2-ac7b-c9ab9c84a30a
Rodrigues, L M
cd76bc41-1b4a-43bc-8f50-40563eb43ff1
Watson, D
957797b5-e598-4011-9892-b19b21c7395a
Tate, A R
ecba440b-0a74-40cd-b88e-576797f1cc48
Crabb, S
bcd1b566-7677-4f81-8429-3ab0e85f8373
Griffiths, J R
d5ac70af-4b98-423f-b06b-fcb3211d6d67
Howells, S L
84c7e4b0-9865-4fc8-b342-67af183e9e19
Mazucco, R A
083ee178-ba26-4cf2-ac7b-c9ab9c84a30a
Rodrigues, L M
cd76bc41-1b4a-43bc-8f50-40563eb43ff1
Watson, D
957797b5-e598-4011-9892-b19b21c7395a

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), 1575-9. (PMID:8694529)

Record type: Article

Abstract

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.

This record has no associated files available for download.

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
ORCID for S Crabb: ORCID iD orcid.org/0000-0003-3521-9064

Catalogue record

Date deposited: 19 Jan 2011 09:32
Last modified: 14 Oct 2022 01:39

Export record

Contributors

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

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×