Hydrogen 1 (1H) magnetic resonance (MR) spectroscopy enables noninvasive in vivo
quantification of metabolite concentrations in the brain. Currently, metabolite concentrations …

Once an MRS dataset has been acquired, several important steps must be taken to obtain
the desired metabolite concentration measures. First, the data must be preprocessed to …

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 …

The software package jMRUI with Java-based graphical user interface enables user-friendly
time-domain analysis of magnetic resonance spectroscopy (MRS) and spectroscopic …

With a 40‐year history of use for in vivo studies, the terminology used to describe the
methodology and results of magnetic resonance spectroscopy (MRS) has grown …

A novel and fast time‐domain quantitation algorithm—quantitation based on semi‐
parametric quantum estimation (QUEST)—invoking optimal prior knowledge is proposed …

Purpose To develop a robust method for brain metabolite quantification in proton magnetic
resonance spectroscopy (1H‐MRS) using a convolutional neural network (CNN) that maps …

An ultrashort-echo-time stimulated echo-acquisition mode (STEAM) pulse sequence with
interleaved outer volume suppression and VAPOR (variable power and optimized relaxation …

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 …

This paper describes a new quantitation method called AQSES for short echo time magnetic
resonance spectra. This method is embedded in a software package available online from …