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Quantification of Magnetic Resonance Spectroscopy Signals with Lineshape Estimation by M. I. Osorio‐Garcia; D. M. Sima; F. U. Nielsen; U. Himmelreich; S. Van Huffel is a Chemistry article available to read on EtoBox.

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## Abstract Quantification of magnetic resonance spectroscopy (MRS) signals is required for providing metabolite concentrations of the tissue under investigation. For estimating these concentrations several biochemical and acquisition conditions need to be taken into account. It is still a challenge to obtain reliable concentrations, as experimental conditions may have a detrimental effect on the spectral quality. The lineshape of MRS signals is affected, for instance, by inhomogeneities of the static magnetic field arising from imperfect shimming and tissue heterogeneities. To handle this type of distortions, we propose an extension of the self‐deconvolution method, where a common lineshape is estimated and a robust method with local regression is included to improve the smoothing of the estimated damping (or lineshape) function. This common lineshape is imposed in the metabolite quantification method and the spectral parameters (amplitude, frequency, damping and phase corrections) are obtained via nonlinear least squares. In this study, we considered distorted simulated, __in vitro__ and __in vivo__ rat brain signals which were lineshape corrected and quantitative results were co

Who reads Quantification of Magnetic Resonance Spectroscopy Signals with Lineshape Estimation?

Author

M. I. Osorio‐Garcia; D. M. Sima; F. U. Nielsen; U. Himmelreich; S. Van Huffel

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Ltd.; Wiley (ISSN 0886-9383)

Published

2011

Language

EN

Field

Chemistry (Physical Sciences)