Previous proton magnetic resonance spectroscopy (1H-MRS) studies suggest a perturbation
in glutamate and/or GABA in Major Depressive Disorder (MDD). However, no studies …

Purpose Fitting of MRS data plays an important role in the quantification of metabolite
concentrations. Many different spectral fitting packages are used by the MRS community. A …

Brain cell structure and function reflect neurodevelopment, plasticity, and aging; and
changes can help flag pathological processes such as neurodegeneration and …

Edited MRS sequences are widely used for studying γ‐aminobutyric acid (GABA) in the
human brain. Several algorithms are available for modelling these data, deriving metabolite …

Purpose The aims of this work are (1) to explore deep learning (DL) architectures,
spectroscopic input types, and learning designs toward optimal quantification in MR …

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 …

Introduction Deuterium metabolic imaging (DMI) and quantitative exchange label turnover
(QELT) are novel MR spectroscopy techniques for non-invasive imaging of human brain …

Purpose The increased spectral dispersion achieved at ultra‐high field permits
quantification of γ‐aminobutyric acid (GABA) concentrations at ultra‐short‐TE without …

Abstract Magnetic Resonance Spectroscopy (MRS) and Spectroscopic Imaging (MRSI) are
non-invasive techniques to map tissue contents of many metabolites in situ in humans …

Purpose Absolute spectral quantification is the standard method for deriving estimates of the
concentration from metabolite signals measured using in vivo proton MRS (1H‐MRS). This …