ArticleMagnetic resonance in medicine2014
Smoothness of in vivo spectral baseline determined by mean-square error.
Article in Magnetic resonance in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Quantification of spatially localized MRS by a novel deep learning approach without spectral fitting.Magnetic resonance in medicine · 2023Article
- Feasibility and implications of using subject-specific macromolecular spectra to model short echo time magnetic resonance spectroscopy data.NMR in biomedicine · 2023Article
- Monte Carlo study of metabolite correlations originating from spectral overlap.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2022Article
- Separation of Metabolites and Macromolecules for Short-TEIEEE transactions on medical imaging · 2021Article
- Cortical glutamate and gamma-aminobutyric acid over the course of a provoked migraine attack, a 7 Tesla magnetic resonance spectroscopy study.NeuroImage. Clinical · 2021Article
- Effects of noise and linewidth on in vivo analysis of glutamate at 3 T.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2020Article
- Local and Interregional Neurochemical Associations Measured by Magnetic Resonance Spectroscopy for Studying Brain Functions and Psychiatric Disorders.Frontiers in psychiatry · 2020Review
- Fast computation of full density matrix of multispin systems for spatially localized in vivo magnetic resonance spectroscopy.Medical physics · 2017Article
- High-resolutionMagnetic resonance in medicine · 2017Article
- Simultaneous quantification of glutamate and glutamine by J-modulated spectroscopy at 3 Tesla.Magnetic resonance in medicine · 2016Article
- Regional and tissue-specific differences in brain glutamate concentration measured by in vivo single voxel MRS.Journal of neuroscience methods · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
purposeA nonparametric smooth line is usually added to the spectral model to account for background signals in vivo magnetic resonance spectroscopy (MRS). The assumed smoothness of the baseline significantly influences quantitative spectral fitting. In this paper, a method is proposed to minimize baseline influences on the estimated spectral parameters.
methodsThe nonparametric baseline function with a given smoothness was treated as a function of spectral parameters. Its uncertainty was measured by root-mean-square error (RMSE). The proposed method was demonstrated with a simulated spectrum and in vivo spectra of both short echo time and averaged echo times. The estimated in vivo baselines were compared with the metabolite-nulled spectra and the LCModel-estimated baselines. The accuracies of estimated baseline and metabolite concentrations were further verified via cross-validation.
resultsAn optimal smoothness condition was found that led to the minimal baseline RMSE. In this condition, the best fit was balanced against minimal baseline influences on metabolite concentration estimates.
conclusionBaseline RMSE can be used to indicate estimated baseline uncertainties and serve as the criterion for determining the baseline smoothness of in vivo MRS.
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