Advanced MRI Techniques and Applications

QSMxT improves QSM processing by reducing artefacts and requiring minimal parameter tuning through a robust masking and two-pass reconstruction method.

The paper demonstrates the feasibility of using rapid changes in blood oxygenation to simulate gadolinium contrast in perfusion MRI for flow metric calculation.

The paper creates a mouse cerebral vascular atlas from MRI data to improve spatial reliability across animals and demonstrates its use in fMRI analysis.

This study quantifies how macro- and micro-vascular compartments affect laminar BOLD fMRI responses under hypercapnic and hyperoxic conditions.

This paper introduces SE-EPTI, a technique for SE-BOLD fMRI that reduces T2' contamination and improves microvascular specificity, showing graded T2' effects across different acquisition strategies.

The paper measures oxygen consumption across cortical layers in awake mice and finds a decrease in baseline CMRO2 from layer I to IV, accompanied by increased tissue oxygenation.

This paper combines fMRI and fast-scan cyclic voltammetry to measure oxygen and dopamine dynamics alongside BOLD signals, revealing strong correlations between tissue oxygen and BOLD and identifying dopamine-responsive brain regions.

This study assesses the impact of MRI scanner upgrades on grey matter structure measurements in longitudinal designs, finding significant biases that persist despite correction methods.

This paper develops a 3D high-resolution whole-brain MRSI technique with reduced acquisition time using compressed-sensing and low-rank reconstruction, producing detailed metabolite maps.

This study compares methods to correct superficial bias in 7T Gradient-Echo fMRI data and finds that ratio of ROI means and Deming regression are most effective.

This paper assesses uncertainty reduction in MRSI denoising methods and proposes improved uncertainty estimation and rank threshold selection.

This paper introduces a 3D dual-echo UTE MRI sequence for imaging myelin bilayers, showing higher uT2 fraction in white matter than grey matter.

This paper evaluates a filter to reduce scan time in multidimensional MRI by improving noise reduction and accuracy of injury biomarker maps.

The paper examines factors predicting successful MRI data acquisition in children with neurodevelopmental conditions after simulator training, finding age and sensorimotor atypicalities as key predictors.

The paper uses MRI techniques to show that brain iron and gliosis relate to memory performance in aging humans.

The paper shows that MRS-measured Glutamate and GABA levels in awake mice correlate with excitatory and inhibitory neural activities during stimulation and in a Dravet syndrome model.

This paper introduces CBF-fMRI using phase-contrast imaging to map blood velocity in single vessels, showing comparable velocity changes in arterioles and venules.

This review evaluates the benefits of rapid temporal sampling in fMRI, showing it can reveal previously undetected neuro-temporal dynamics and improve spatial precision.

The paper develops a novel MRI technique, HEAP-METRIC, to map slow CSF flow in mice and shows it is reduced under anesthesia.

This paper introduces a novel fMRI denoising technique that improves temporal-SNR and functional map detection without altering signal amplitudes or spatial precision.

The paper evaluates the NORDIC method for reducing thermal noise in fMRI data, showing it improves sensitivity and preserves spatiotemporal precision without significant loss of temporal information.

This paper develops a compressed-sensing and low-rank reconstruction method for high-resolution whole-brain 1H-MRSI at 7 Tesla, achieving detailed metabolite imaging in 2D and 3D with reduced acquisition times.

This study introduces a new cardiac pulsatility model (CPM) for fMRI noise correction, showing it outperforms existing methods in explaining fMRI signal variance.

This paper improves the sensitivity and resolution of in-vivo magnetic resonance current density imaging (MRCDI) through methodological advancements and validates it using phantom and human brain experiments.

This paper introduces a method to assess hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI data, identifying hypoperfusion components that correlate with delayed perfusion and reperfusion.

This paper develops a 3T MRI method for high-resolution human whole-brain imaging and applies it to study multiple sclerosis pathology.

This paper reduces SAR in 7T brain fMRI by removing the fat suppression pulse and separating lipid and water signals using a parallel acquisition approach.

This paper develops automated methods for slice-specific z-shimming in spinal cord fMRI to improve signal quality and reproducibility.

This study uses quantitative susceptibility mapping (QSM) to better visualize subcortical structures in non-human primates, showing improved contrast-to-noise ratios and age-related changes.

This paper introduces an optimized registration workflow and standard geometric space for small animal MRI, improving consistency and data comparability across subjects and sessions.