Influence of macromolecule baseline on 1H MR spectroscopic imaging reproducibility

R Birch, AC Peet, H Dehghani… - Magnetic resonance in …, 2017 - Wiley Online Library
Purpose Poorly characterized macromolecular (MM) and baseline artefacts are known to
reduce metabolite quantitation accuracy in 1H MR spectroscopic imaging (MRSI). Increasing …

Test‐retest reproducibility of neurochemical profiles with short‐echo, single‐voxel MR spectroscopy at 3T and 7T

M Terpstra, I Cheong, T Lyu… - Magnetic resonance …, 2016 - Wiley Online Library
Purpose To determine the test‐retest reproducibility of neurochemical concentrations
obtained with a highly optimized, short‐echo, single‐voxel proton MR spectroscopy (MRS) …

[HTML][HTML] SLIPMAT: A pipeline for extracting tissue-specific spectral profiles from 1H MR spectroscopic imaging data

O Vella, AP Bagshaw, M Wilson - NeuroImage, 2023 - Elsevier
Abstract 1 H Magnetic Resonance Spectroscopy (MRS) is an important non-invasive tool for
measuring brain metabolism, with numerous applications in the neuroscientific and clinical …

Multi‐echo single‐shot spectroscopy combined with simultaneous 2D model fitting for fast and accurate measurement of metabolite‐specific concentrations and T2 …

R Rizzo, R Kreis - NMR in Biomedicine, 2023 - Wiley Online Library
The purpose of the current study was to develop a novel single‐voxel MR spectroscopy
acquisition scheme to simultaneously determine metabolite‐specific concentrations and …

CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis

X Chen, J Li, D Chen, Y Zhou, Z Tu, M Lin… - Journal of Magnetic …, 2024 - Elsevier
Magnetic resonance spectroscopy (MRS) is an important clinical imaging method for
diagnosis of diseases. MRS spectrum is used to observe the signal intensity of metabolites …

Quantification of metabolites in magnetic resonance spectroscopic imaging using machine learning

D Das, E Coello, RF Schulte, BH Menze - … 13, 2017, Proceedings, Part III 20, 2017 - Springer
Abstract Magnetic Resonance Spectroscopic Imaging (MRSI) is a clinical imaging modality
for measuring tissue metabolite levels in-vivo. An accurate estimation of spectral parameters …

MRSNet: metabolite quantification from edited magnetic resonance spectra with convolutional neural networks

M Chandler, C Jenkins, SM Shermer… - arXiv preprint arXiv …, 2019 - arxiv.org
Quantification of metabolites from magnetic resonance spectra (MRS) has many
applications in medicine and psychology, but remains a challenging task despite …

Determination of Brain Metabolite T1 Without Interference From Macromolecule Relaxation

L An, MF Araneta, M Victorino… - Journal of Magnetic …, 2020 - Wiley Online Library
Background J‐coupled metabolites are often measured at a predetermined echo time in the
presence of macromolecule signals, which complicates the measurement of metabolite T1 …

Hunting the perfect spline: Baseline handling for accurate macromolecule estimation and metabolite quantification by in vivo 1H MRS

K Swanberg, K Landheer, M Gajdosik… - Proc. Int. Soc. Magn …, 2020 - archive.ismrm.org
It has been previously established that inappropriately modeled spectral baselines can
confound metabolite concentration estimates by in vivo 1 H MRS even while contributing to …

Adaptive baseline fitting for MR spectroscopy analysis

M Wilson - Magnetic Resonance in Medicine, 2021 - Wiley Online Library
Purpose Accurate baseline modeling is essential for reliable MRS analysis and
interpretation—particularly at short echo‐times, where enhanced metabolite information …