The aim of this study was to quantitatively assess the improvement of image quality on motion corrupted quantitative susceptibility mapping (QSM) and the effective transverse relaxation rate (R2*) maps, after applying retrospective motion correction. Image quality was assessed using the following metrics: SNR in different brain tissues, histogram analysis, and linear correlation between susceptibility and R2* values in subcortical structures
International audienceHead-motion is a main cause of artifacts in MRI. The performance of a markerle...
Purpose: Subject motion can severely degrade MR images. A retrospective motion correction algorithm,...
Diffusion-weighting in magnetic resonance imaging (MRI) increases the sensitivity to molecular Brown...
Sub-millimeter imaging at 7T has opened new possibilities for qualitatively and quantitatively study...
Quantitative imaging aims to provide in vivo neuroimaging biomarkers with high research and diagnost...
Automatic retrospective motion correction algorithms based on iterative optimization of an image qua...
PURPOSE: Recent literature has shown the potential of high-resolution quantitative susceptibility ma...
PURPOSE: Quantitative assessment of prospective motion correction (PMC) capability at 7T MRI for com...
PURPOSE: As Quantitative Susceptibility Mapping (QSM) is maturing, more clinical applications are be...
Quantitative susceptibility mapping (QSM) using the MRI phase to calculate tissue magnetic susceptib...
The sensitivity to subject motion is one of the major reasons of image quality degradation in magnet...
The aim of the 2016 quantitative susceptibility mapping (QSM) reconstruction challenge was to test t...
Motion artefacts in magnetic resonance brain images are a crucial issue. The assessment of MR image ...
International audienceHead-motion is a main cause of artifacts in MRI. The performance of a markerle...
Purpose: Subject motion can severely degrade MR images. A retrospective motion correction algorithm,...
Diffusion-weighting in magnetic resonance imaging (MRI) increases the sensitivity to molecular Brown...
Sub-millimeter imaging at 7T has opened new possibilities for qualitatively and quantitatively study...
Quantitative imaging aims to provide in vivo neuroimaging biomarkers with high research and diagnost...
Automatic retrospective motion correction algorithms based on iterative optimization of an image qua...
PURPOSE: Recent literature has shown the potential of high-resolution quantitative susceptibility ma...
PURPOSE: Quantitative assessment of prospective motion correction (PMC) capability at 7T MRI for com...
PURPOSE: As Quantitative Susceptibility Mapping (QSM) is maturing, more clinical applications are be...
Quantitative susceptibility mapping (QSM) using the MRI phase to calculate tissue magnetic susceptib...
The sensitivity to subject motion is one of the major reasons of image quality degradation in magnet...
The aim of the 2016 quantitative susceptibility mapping (QSM) reconstruction challenge was to test t...
Motion artefacts in magnetic resonance brain images are a crucial issue. The assessment of MR image ...
International audienceHead-motion is a main cause of artifacts in MRI. The performance of a markerle...
Purpose: Subject motion can severely degrade MR images. A retrospective motion correction algorithm,...
Diffusion-weighting in magnetic resonance imaging (MRI) increases the sensitivity to molecular Brown...