This article reviews the most commonly used modern sequences designed to confront the
two major challenges of in vivo magnetic resonance spectroscopy (MRS): spatial …

Magnetic resonance spectroscopy (MRS) is an important technique in biomedical research
and it has the unique capability to give a non-invasive access to the biochemical content …

Purpose To develop a 3D downfield (DF) MRSI protocol with whole brain coverage and post‐
processing pipeline for creation of metabolite maps. Methods A 3D, circularly phase …

Localized two‐dimensional MR spectroscopy (2D MRS) is impacting the in vivo studies of
brain metabolites due to improved spectral resolution and unambiguous assignment …

Magnetic resonance spectroscopy (MRS) is a non-invasive imaging modality for metabolite
detection in different parts of the body (eg brain, liver, prostate, breast, kidney, skeletal …

Proton MR spectroscopy can detect a detailed metabolic profile of the human brain
noninvasively. Despite the wide range of metabolites that can be detected, spectral overlap …

Purpose Macromolecular peaks underlying metabolite spectra influence the quantification of
metabolites. Therefore, it is important to understand the extent of contribution from …

There is a growing interest in the neuroscience community to map the distribution of brain
metabolites in vivo. Magnetic resonance spectroscopic imaging (MRSI) is often limited by …

Purpose MRSI has shown great promise in the detection and monitoring of neurologic
pathologies such as tumor. A necessary component of data processing includes the …

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 …