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.
1575-9
Tate, A R
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Crabb, S
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Griffiths, J R
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Howells, S L
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Mazucco, R A
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Rodrigues, L M
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Watson, D
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1996
Tate, A R
ecba440b-0a74-40cd-b88e-576797f1cc48
Crabb, S
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Griffiths, J R
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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), .
(PMID:8694529)
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.
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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
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Date deposited: 19 Jan 2011 09:32
Last modified: 14 Oct 2022 01:39
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Contributors
Author:
A R Tate
Author:
J R Griffiths
Author:
S L Howells
Author:
R A Mazucco
Author:
L M Rodrigues
Author:
D Watson
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