[HTML][HTML] Recent advances in magnetic resonance neurospectroscopy
Y Rosen, RE Lenkinski - Neurotherapeutics, 2007 - Elsevier
Over the past two decades, proton magnetic resonance spectroscopy (proton MRS) of the
brain has made the transition from research tool to a clinically useful modality. In this review …
brain has made the transition from research tool to a clinically useful modality. In this review …
MRS signal quantitation: a review of time-and frequency-domain methods
JB Poullet, DM Sima, S Van Huffel - Journal of Magnetic Resonance, 2008 - Elsevier
In this paper an overview of time-domain and frequency-domain quantitation methods is
given. Advantages and drawbacks of these two families of quantitation methods are …
given. Advantages and drawbacks of these two families of quantitation methods are …
Magnetic resonance spectroscopy biomarkers in premanifest and early Huntington disease
A Sturrock, C Laule, J Decolongon, R Dar Santos… - Neurology, 2010 - AAN Enterprises
Objectives: To evaluate in vivo brain metabolite differences in control subjects, individuals
with premanifest Huntington disease (pre-HD), and individuals with early HD using 1H …
with premanifest Huntington disease (pre-HD), and individuals with early HD using 1H …
Time-resolved functional 1H MR spectroscopic detection of glutamate concentration changes in the brain during acute heat pain stimulation
A Gussew, R Rzanny, M Erdtel, HC Scholle, WA Kaiser… - Neuroimage, 2010 - Elsevier
Non-invasive in vivo detection of cortical neurotransmitter concentrations and their changes
in the presence of pain may help to better understand the biochemical principles of pain …
in the presence of pain may help to better understand the biochemical principles of pain …
Denoising single MR spectra by deep learning: Miracle or mirage?
M Dziadosz, R Rizzo… - Magnetic resonance in …, 2023 - Wiley Online Library
Purpose The inherently poor SNR of MRS measurements presents a significant hurdle to its
clinical application. Denoising by machine or deep learning (DL) was proposed as a …
clinical application. Denoising by machine or deep learning (DL) was proposed as a …
Quantitative proton magnetic resonance spectroscopy and spectroscopic imaging of the brain: a didactic review
JR Alger - Topics in Magnetic Resonance Imaging, 2010 - journals.lww.com
This article presents background information related to methodology for estimating brain
metabolite concentration from magnetic resonance spectroscopy (MRS) and magnetic …
metabolite concentration from magnetic resonance spectroscopy (MRS) and magnetic …
Designing GABA-edited magnetic resonance spectroscopy studies: considerations of scan duration, signal-to-noise ratio and sample size
Background The relationships between scan duration, signal-to-noise ratio (SNR) and
sample size must be considered and understood to design optimal GABA-edited magnetic …
sample size must be considered and understood to design optimal GABA-edited magnetic …
[HTML][HTML] Quantitation of normal metabolite concentrations in six brain regions by in-vivo1H-MR spectroscopy
This study examined the concentrations of brain metabolites visible to in-vivo 1 H-Magnetic
Resonance Spectroscopy (1 H-MRS) at 1.5 T in a sample of 28 normal subjects …
Resonance Spectroscopy (1 H-MRS) at 1.5 T in a sample of 28 normal subjects …
PCA denoising and Wiener deconvolution of 31P 3D CSI data to enhance effective SNR and improve point spread function
M Froeling, JJ Prompers, DWJ Klomp… - Magnetic resonance …, 2021 - Wiley Online Library
Purpose This study evaluates the performance of 2 processing methods, that is, principal
component analysis‐based denoising and Wiener deconvolution, to enhance the quality of …
component analysis‐based denoising and Wiener deconvolution, to enhance the quality of …
Effect of signal‐to‐noise ratio and spectral linewidth on metabolite quantification at 4 T
R Bartha - NMR in Biomedicine: An International Journal …, 2007 - Wiley Online Library
The accuracy and precision of measurements of metabolite concentrations from short echo‐
time spectra has previously been characterized at l. 5 T as a function of signal‐to‐noise ratio …
time spectra has previously been characterized at l. 5 T as a function of signal‐to‐noise ratio …