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A hybrid method of application of independent component analysis to in vivo1H MR spectra of childhood brain tumours
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Hao, Jie, Zou, Xin, Wilson, Martin P., Davies, Nigel P., Sun, Yu, C. Peet, Andrew and Arvanitis, Theodoros N. (2012) A hybrid method of application of independent component analysis to in vivo1H MR spectra of childhood brain tumours. NMR in Biomedicine, Volume 25 (Number 4). pp. 594-606. doi:10.1002/nbm.1776
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Official URL: http://dx.doi.org/10.1002/nbm.1776
Abstract
Independent component analysis (ICA) can automatically extract individual metabolite, macromolecular and lipid (MMLip) components from a series of in vivo MR spectra. The traditional feature extraction (FE)-based ICA approach is limited, in that a large sample size is required and a combination of metabolite and MMLip components can appear in the same independent component. The alternative ICA approach, based on blind source separation (BSS), is weak when dealing with overlapping peaks. Combining the advantages of both BSS and FE methods may lead to better results. Thus, we propose an ICA approach involving a hybrid of the BSS and FE techniques for the automated decomposition of a series of MR spectra. Experiments were performed on synthesised and patient in vivo childhood brain tumour MR spectra datasets. The hybrid ICA method showed an improvement in the decomposition ability compared with BSS-ICA or FE-ICA, with an increased correlation between the independent components and simulated metabolite and MMLip signals. Furthermore, we were able to automatically extract metabolites from the patient MR spectra dataset that were not in commonly used basis sets (e.g. guanidinoacetate).
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||
| Journal or Publication Title: | NMR in Biomedicine | ||||
| Publisher: | John Wiley & Sons Ltd. | ||||
| ISSN: | 0952-3480 | ||||
| Official Date: | April 2012 | ||||
| Dates: |
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| Volume: | Volume 25 | ||||
| Number: | Number 4 | ||||
| Page Range: | pp. 594-606 | ||||
| DOI: | 10.1002/nbm.1776 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access |
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