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A comparison between simulated and experimental basis sets for assessing short-TE in vivo1H MRS data at 1.5 T

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Wilson, Martin P., Davies, Nigel P., Sun, Yu, Natarajan, Kal, Arvanitis, Theodoros N., Kauppinen, Risto A. and Peet, Andrew C. (2010) A comparison between simulated and experimental basis sets for assessing short-TE in vivo1H MRS data at 1.5 T. NMR in Biomedicine, Volume 23 (Number 10). pp. 1117-1126. doi:10.1002/nbm.1538

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Official URL: http://dx.doi.org/10.1002/nbm.1538

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Abstract

A number of algorithms designed to determine metabolite concentrations from in vivo1H MRS require a collection of single metabolite spectra, known as a basis set, which can be obtained experimentally or by simulation. It has been assumed that basis sets can be used interchangeably, but no systematic study has investigated the effects of small variations in basis functions on the metabolite values obtained. The aim of this study was to compare the results of simulated with experimental basis sets when used to fit short-TE 1H MRS data of variable quality at 1.5 T. Two hundred and twelve paediatric brain tumour spectra were included in the analysis, and each was analysed twice with LCModel™ using a simulated and experimental basis set. To determine the influence of data quality on quantification, each spectrum was assessed and 152 were classified as being of ‘good’ quality. Bland–Altman statistics were used to measure the agreement between the two basis sets for all available spectra and only ‘good’-quality spectra. Monte-Carlo simulations were performed to investigate the influence of minor shifts in metabolite frequencies on metabolite concentration estimates. All metabolites showed good agreement between the two basis sets, and the average metabolite limits of agreement were approximately ±3.84 mm for all available data and ±0.99 mm for good-quality data. Errors obtained from the Monte-Carlo analysis were found to be more accurate than the Cramer–Rao lower bounds (CRLB) for 12 of 15 metabolites when metabolite frequency shifting was considered. For the majority of purposes, a level of agreement of ±0.99 mm between simulated and experimental basis sets is sufficiently small for them to be used interchangeably. Multiple analyses using slightly modified basis sets may be useful in estimating fitting errors, which are not predicted by CRLBs.

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: December 2010
Dates:
DateEvent
December 2010Published
Volume: Volume 23
Number: Number 10
Page Range: pp. 1117-1126
DOI: 10.1002/nbm.1538
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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