Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations

AA Maudsley, OC Andronesi, PB Barker… - NMR in …, 2021 - Wiley Online Library
Magnetic resonance spectroscopic imaging (MRSI) offers considerable promise for
monitoring metabolic alterations associated with disease or injury; however, to date, these …

High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T

G Hangel, S Jain, E Springer, E Hečková, B Strasser… - Neuroimage, 2019 - Elsevier
Objectives To demonstrate the feasibility of 7 T magnetic resonance spectroscopic imaging
(MRSI), combined with patch-based super-resolution (PBSR) reconstruction, for high …

The influence of spatial resolution on the spectral quality and quantification accuracy of whole‐brain MRSI at 1.5 T, 3T, 7T, and 9.4 T

S Motyka, P Moser, L Hingerl, G Hangel… - Magnetic …, 2019 - Wiley Online Library
Purpose Inhomogeneities in the static magnetic field (B0) deteriorate MRSI data quality by
lowering the spectral resolution and SNR. MRSI with low spatial resolution is also prone to …

7 T magnetic resonance spectroscopic imaging in multiple sclerosis: how does spatial resolution affect the detectability of metabolic changes in brain lesions?

E Heckova, B Strasser, GJ Hangel… - Investigative …, 2019 - journals.lww.com
Objectives The aim of this study was to assess the utility of increased spatial resolution of
magnetic resonance spectroscopic imaging (MRSI) at 7 T for the detection of neurochemical …

k‐Space‐based coil combination via geometric deep learning for reconstruction of non‐Cartesian MRSI data

S Motyka, L Hingerl, B Strasser… - Magnetic …, 2021 - Wiley Online Library
Purpose State‐of‐the‐art whole‐brain MRSI with spatial‐spectral encoding and
multichannel acquisition generates huge amounts of data, which must be efficiently …

MRSI reconstruction pipeline in the age of deep learning

S Motyka, L Hingerl, P Moser, A Agibetov… - … : ISMRM & SMRT …, 2020 - archive.ismrm.org
Whole-brain MRSI measured with a concentric ring trajectories based FID-MRSI sequence
generates large amounts of data, which makes post-processing very time-consuming (up to …

Reproducibility and Coverage of Human Whole-brain 1H FID MRSI at 9.4 T after Processing Pipeline Optimization

T Ziegs, AM Wright, A Henning - 2021 ISMRM & SMRT Annual Meeting …, 2021 - pure.mpg.de
Whole-brain data were acquired using a non-accelerated, non-lipid-suppressed and ultra-
short echo time 1H FID-MRSI 2D multi-slice sequence at 9.4 T on human subjects. Data was …