ArticleMagnetic resonance in medicine2016
Spectral improvement by fourier thresholding of in vivo dynamic spectroscopy data.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Combining hyperpolarizedJournal of applied physiology (Bethesda, Md. : 1985) · 2025Article
- Improving Brain Metabolite Detection with a Combined Low-Rank Approximation and Denoising Diffusion Probabilistic Model Approach.Bioengineering (Basel, Switzerland) · 2024Article
- Signal-to-Noise Ratio Enhancement of Single-Voxel In VivoMetabolites · 2022Article
- Developing a Method to Estimate the Downstream Metabolite Signals from Hyperpolarized [1-Sensors (Basel, Switzerland) · 2022Article
- PCA denoising and Wiener deconvolution ofMagnetic resonance in medicine · 2021Article
- Whole brainMagnetic resonance in medicine · 2020Article
- A protocol for quantifying cardiogenic oscillations in dynamicNMR in biomedicine · 2019Article
- Tai Chi Improves Brain Metabolism and Muscle Energetics in Older Adults.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018Article
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6 authors.
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Abstract
purposeMR spectroscopy (MRS) typically requires averaging of multiple acquisitions to achieve adequate signal-to-noise ratio (SNR). In systems undergoing dynamic changes this can compromise the temporal resolution of the measurement. One such example is (31) P MRS of exercising skeletal muscle. Spectral improvement by Fourier thresholding (SIFT) offers a way of suppressing noise without averaging. In this study, we evaluate the performance of SIFT in healthy subjects and clinical cases.
methods(31) P MRS of the calf or thigh muscle of subjects (n = 12) was measured continuously before, during, and after exercise. The data were processed conventionally and with the addition of SIFT before quantifying peak amplitudes and frequencies. The postexercise increase in the amplitude of phosphocreatine was also characterized by fitting with an exponential function to obtain the recovery time constant.
resultsSubstantial reductions in the uncertainty of peak fitting for phosphocreatine (73%) and inorganic phosphate (60%) were observed when using SIFT relative to conventional processing alone. SIFT also reduced the phosphocreatine recovery time constant uncertainty by 38%.
conclusionSIFT considerably improves SNR, which improved quantification and parameter estimation. It is suitable for any type of time varying MRS and is both straightforward and fast to apply. Magn Reson Med 76:978-985, 2016. © 2015 Wiley Periodicals, Inc.
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