Advanced MRI Techniques and Applications

This study maps age-related changes in 17 human subcortical structures using in vivo 7 T MRI, revealing shifts in location and properties across the adult lifespan.

This paper introduces HDnGAN, a hybrid denoising GAN that improves the quality of fast volumetric MRI by denoising Wave-CAIPI images, achieving better SNR, sharpness, and lesion conspicuity than existing methods.

The paper develops a 3D hemodynamic model to predict BOLD responses across cortical depth, showing it matches experimental data with fewer assumptions than prior 2D models.

This paper introduces DeepSPEC, a CNN-based method for frequency-and-phase correction of MRS data, showing improved accuracy and robustness to noise compared to MLP and mSR methods.

This paper develops an implantable inductive coil detector to enhance focal fMRI signal sensitivity in animal brain imaging, achieving a 2-3 fold increase in tSNR compared to conventional methods.

The paper examines how medullary vein architecture affects white matter BOLD-CVR responses to CO2 using high-resolution MRI and finds moderate correlations between vessel frequency and hemodynamic parameters.

This paper demonstrates high-resolution single-shot spiral fMRI at 7T with sub-millimeter resolution, achieving excellent image quality and BOLD sensitivity with minimal blurring artifacts.

This paper introduces a 3D zoomed arterial spin labeling technique at 7T to quantitatively measure laminar cerebral blood flow in human brain regions during rest and task activation.

This paper evaluates using a one-time gradient calibration to improve spiral fMRI image quality and functional results by predicting k-space trajectories with a linear time-invariant model.

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.

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.

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 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.

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

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.