5 papers
HyperFitS -- Hypernetwork Fitting Spectra for metabolic quantification of H MR spectroscopic imaging
Paul J. Weiser, Gulnur Ungan, Amirmohammad Shamaei +5
Purpose: Proton magnetic resonance spectroscopic imaging (H MRSI) enables the mapping of whole-brain metabolites concentrations in-vivo. However, a long-standing problem for it…
Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging
Paul J. Weiser, Jiye Kim, Jongho Lee +6
Purpose: Magnetic Resonance Spectroscopic Imaging (MRSI) maps endogenous brain metabolism while suppressing the overwhelming water signal. Water-unsuppressed MRSI (wu-MRSI) allows…
WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging
Paul Weiser, Georg Langs, Stanislav Motyka +5
Purpose. Proton Magnetic Resonance Spectroscopic Imaging (1H-MRSI) provides non-invasive spectral-spatial mapping of metabolism. However, long-standing problems in whole-brain 1H-M…
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging
Paul Weiser, Georg Langs, Wolfgang Bogner +11
Introduction: Altered neurometabolism is an important pathological mechanism in many neurological diseases and brain cancer, which can be mapped non-invasively by Magnetic Resonanc…
Optimization and application of ultra-high field preclinical high-resolution and 3D 1H-MRSI using compressed sensing
Brayan Alves, Thanh Phong Lê, Gianna Nossa +7
Proton magnetic resonance spectroscopic imaging (1H-MRSI) at ultra-high field has seen an increase in usage in the preclinical field. Challenges related to long acquisition time an…