Combination of multichannel single-voxel MRS signals using generalized least squares

Purpose: To propose using the generalized least square (GLS) algorithm for combining multichannel single‐voxel magnetic resonance spectroscopy (MRS) signals. Materials and Methods: Phantom and in vivo brain MRS experiments on a 7 T scanner equipped with a 32‐channel receiver coil, as well as Monte C...

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Bibliographic Details
Published in:Journal of magnetic resonance imaging 2013-06, Vol.37 (6), p.1445-1450
Main Authors: An, Li, Willem van der Veen, Jan, Li, Shizhe, Thomasson, David M., Shen, Jun
Format: Article
Language:English
Subjects:
Algorithms
Brain Chemistry
Data Interpretation, Statistical
generalized least squares
GLS
Humans
Least-Squares Analysis
Magnetic resonance imaging
Magnetic Resonance Spectroscopy - instrumentation
Magnetic Resonance Spectroscopy - methods
Molecular Imaging - methods
MRS
multichannel coil
noise correlation
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
SNR
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Summary:Purpose: To propose using the generalized least square (GLS) algorithm for combining multichannel single‐voxel magnetic resonance spectroscopy (MRS) signals. Materials and Methods: Phantom and in vivo brain MRS experiments on a 7 T scanner equipped with a 32‐channel receiver coil, as well as Monte Carlo simulations, were performed to compare the coefficient of variation (CV) of the GLS method with those of two recently reported spectral combination methods. Results: Compared to the two existing methods, the GLS method significantly reduced CV values for the simulation, phantom, and in vivo experiments. Conclusion: The GLS method can lead to improved precision of peak quantification. J. Magn. Reson. Imaging 2013;37:1445–1450. © 2012 Wiley Periodicals, Inc.
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.23941