Advanced MRI Techniques and Applications

High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network

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.

Cortical Depth-Dependent Modeling of Visual Hemodynamic Responses

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.

Magnetic Resonance Spectroscopy Frequency and Phase Correction Using Convolutional Neural Networks

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.

Benchmarking GE-BOLD, SE-BOLD, and SS-SI-VASO sequences for depth-dependent separation of feedforward and feedback signals in high-field MRI

This study benchmarks three MRI sequences to differentiate feedforward and feedback signals in human V1 cortex, finding SE-BOLD provides the best depth-dependent separation.

Focal fMRI signal enhancement with implantable inductively coupled detectors

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.

Sleep Dependent Changes of Lactate Concentration in Human Brain

This paper measures brain lactate levels during sleep-wake cycles in humans using MRS and PSG, finding significant reductions during sleep stages compared to wakefulness.

Simultaneous Super-Resolution and Distortion Correction for Single-shot EPI DWI using Deep Learning

This paper develops a deep learning method to enhance resolution and correct distortion in single-shot EPI DWI images using a modified GAN architecture and a fractional anisotropy loss.

Medullary vein architecture modulates the white matter BOLD cerebrovascular reactivity signal response to CO2: observations from high-resolution T2* weighted imaging at 7T

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.

Advances in Spiral fMRI: A High-resolution Study with Single-shot Acquisition

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.

Laminar perfusion imaging with zoomed arterial spin labeling at 7 Tesla

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.

ORYX-MRSI: A Fully-Automated Open-Source Software for Three-Dimensional Proton Magnetic Resonance Spectroscopic Imaging Data Analysis

ORYX-MRSI is an open-source software for 3D 1H-MRSI data analysis that provides automated processing, visualization, and metabolite mapping.

Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the lifespan

This study shows that baseline cerebral blood flow predicts multiple-demand network activity and fluid intelligence across the lifespan, with non-neuronal CBF effects confounding BOLD signals.

Reliability of quantitative multiparameter maps is high for MT and PD but attenuated for R1 and R2* in healthy young adults

The paper assesses the reliability of four MRI parameters in healthy young adults, finding high reliability for MT and PD but lower for R1 and R2* across brain regions.

Cerebral perfusion imaging: Hypoxia-induced deoxyhemoglobin or gadolinium?

The paper compares hypoxia-induced deoxyhemoglobin and gadolinium as susceptibility contrast agents for cerebral perfusion imaging in healthy participants.

A comparison of single and multi-echo processing of fMRI data during overt autobiographical recall

This study compares single and multi-echo fMRI processing during autobiographical recall, finding that multi-echo ICA reveals hippocampal activity not seen with single echo methods.

Effects of upgrading acquisition-techniques and harmonization methods: A multi-modal MRI study with implications for longitudinal designs

This study evaluates the impact of MRI acquisition upgrades and harmonization methods on brain parameters, showing that harmonization reduces protocol effects but requires sufficient participants.

Feasibility of spiral fMRI based on an LTI gradient model

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: Robust Masking and Artefact Reduction for Quantitative Susceptibility Mapping

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

Perfusion MRI using endogenous deoxyhemoglobin as a contrast agent: preliminary data

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

An in-vivo digital atlas of the spatially reliable cerebral vasculature in mice

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

The many layers of BOLD. On the contribution of different vascular compartments to laminar fMRI.

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

Simultaneous pure T2 and varying T2'-weighted BOLD fMRI using Echo Planar Time-resolved Imaging for mapping cortical-depth dependent responses

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.

Microscopic Quantification of Oxygen Consumption across Cortical Layers

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.

Simultaneous fMRI and fast-scan cyclic voltammetry bridges oxygenation and neurotransmitter dynamics across spatiotemporal scales

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.

Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs

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.

Whole-Brain High-Resolution Metabolite Mapping with 3D Compressed-Sensing-SENSE-LowRank 1H FID-MRSI

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.

Correcting for Superficial Bias in 7T Gradient Echo fMRI

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.

Uncertainty in denoising of MRSI using low-rank methods

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

Myelin Imaging Using 3D Dual-echo Ultra-short Echo Time MRI with Rosette k-Space Pattern

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

Multidimensional MRI for characterization of subtle axonal injury accelerated using an adaptive nonlocal multispectral filter

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