Advanced MRI Techniques and Applications

MR relaxometry-based analysis of brain hemorrhages: an experimental study on a rabbit model

This paper develops a relaxometry-based method to detect brain hemorrhages in rabbits, showing improved accuracy compared to standard MRI techniques.

Deep learning model fitting for diffusion-relaxometry: a comparative study

This study compares two deep learning strategies for qMRI signal model fitting, finding that strategy 2 is more practical but may yield less accurate parameter estimation.

Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

This paper uses a GAN-based style transfer approach to harmonize multi-site MRI images without requiring site labels or traveling subjects.

Longitudinal Quantification of Metabolites and Macromolecules Reveals Age- and Sex-Related Changes in the Healthy Fischer 344 Rat Brain

This study quantifies metabolites and macromolecules in aging Fischer 344 rats using MRI, revealing age- and sex-related changes in brain chemistry associated with healthy aging.

SEPIA - SuscEptibility mapping PIpeline tool for phAse images

SEPIA is an open-source QSM processing pipeline that connects existing toolboxes and provides a GUI for easier QSM workflow management.

FSL-MRS: An end-to-end spectroscopy analysis package

FSL-MRS is an end-to-end magnetic resonance spectroscopy analysis toolbox that provides data processing, simulation, fitting, and visualization, validated on simulated and in vivo human datasets.

Is it Time to Switch Your T1W Sequence? Assessing the Impact of Prospective Motion Correction on the Reliability and Quality of Structural Imaging

This study compares two MRI sequences, MPRAGE and MPRAGE+PMC, finding that MPRAGE+PMC offers higher intra-sequence reliability but lower quality control metrics compared to MPRAGE.

3 versus 7 Tesla Magnetic Resonance Imaging for parcellations of subcortical brain structures

This study compares 3T and 7T MRI for parcellating subcortical brain structures, finding 7T provides better interrater agreement and contrast-to-noise ratios for smaller structures.

Lipid suppressed and tissue-fraction corrected metabolic distributions in human central brain structures using 2D 1H Magnetic Resonance Spectroscopic Imaging at 7 tesla

This paper develops a pipeline to correct lipid suppression and partial volume effects in MRSI data to generate high-resolution metabolite maps of central brain structures.

The thermodynamics of thinking: connections between neural activity, energy metabolism and blood flow

This paper explores the thermodynamic relationships between neural activity, energy metabolism, and cerebral blood flow, showing that physiological responses align with thermodynamic principles.

Phase Unwrapping with a Rapid Opensource Minimum Spanning TreE AlgOrithm (ROMEO)

This paper introduces ROMEO, a fast and accurate MRI phase unwrapping algorithm that outperforms existing methods in speed and reliability for challenging phase topographies.

An in vivo Probabilistic Atlas of the Human Locus Coeruleus at Ultra-high Field

This study creates a probabilistic atlas of the human locus coeruleus using ultra-high field MRI, revealing spatial gradients and providing a resource for future research.

Rest functional brain maturation during the first year of life

The paper measures rest cerebral blood flow changes in infants during their first year, finding regional differences in functional brain maturation linked to cognitive development.

Localized prediction of glutamate from whole-brain functional connectivity of the pregenual anterior cingulate cortex

The paper uses machine learning to predict local glutamate levels from functional connectivity in the pregenual anterior cingulate cortex, showing better prediction for p32 than p24.

Reconstructing lost BOLD signal in individual participants using deep machine learning

This paper uses deep machine learning to reconstruct lost BOLD signals in individual participants, showing good correlation with original signals and functional connectivity maps.

A statistical 3D model of the human cortical vasculature to compute the hemodynamic fingerprint of the BOLD fMRI signal

The paper develops a 3D vascular model to simulate hemodynamic changes and compute the BOLD fMRI signal response by incorporating biophysical interactions and vascular topology.

Tailored haemodynamic response function increases detection power of fMRI in awake dogs (Canis familiaris)

This paper develops a tailored haemodynamic response function for dogs, improving fMRI detection power by accounting for species-specific differences in BOLD signal timing.

Regional glia-related metabolite levels are higher at older age and scale negatively with visuo-spatial working memory: A cross-sectional proton MR spectroscopy study at 7 tesla on normal cognitive ageing

This study uses 7T 1H-MRS to show that glia-related metabolites increase with age in multiple brain regions and correlate with visuo-spatial working memory performance in healthy adults.

Effects of MP2RAGE B1+ sensitivity on inter-site T1 reproducibility and morphometry at 7T

This paper investigates how MP2RAGE sequence parameters affect T1 reproducibility and morphometry across sites, showing that B1+ inhomogeneities significantly impact results and that corrections improve comparability.

Segmented K-Space Blipped-Controlled Aliasing in Parallel Imaging (Skipped-CAIPI) for High Spatiotemporal Resolution Echo Planar Imaging

The paper introduces a new EPI sampling strategy called skipped-CAIPI that improves flexibility and efficiency in high spatiotemporal resolution imaging.

A Motion Correction Strategy for Multi-Contrast based 3D parametric imaging: Application to Inhomogeneous Magnetization Transfer (ihMT)

The paper introduces a motion correction method for multi-contrast 3D imaging and shows it outperforms existing methods in reducing image misalignment.

Multi-centre, multi-vendor reproducibility of 7T QSM and R2* in the human brain: results from the UK7T study

This study evaluates the reproducibility of 7T quantitative susceptibility mapping (QSM) and R2* at multiple sites using a harmonized protocol, finding improved consistency compared to 3T.

TDM: a temporal decomposition method for removing venous effects from task-based fMRI

This paper introduces TDM, a method to remove venous effects from task-based fMRI by decomposing responses into microvascular and macrovascular components, improving spatial accuracy.

Sleep-specific changes in physiological brain pulsations

This study quantifies how sleep affects physiological brain pulsations and shows that spectral entropy of these pulsations can distinguish sleep from awake states.

The sheep brain: an interesting translational model for functional MRI studies?

The paper investigates functional MRI responses in sheep under anesthesia, finding weak BOLD responses in the lateral geniculate nucleus and differences in cerebral blood flow between lambs and adult sheep.

Designing and Comparing Optimised Pseudo-Continuous Arterial Spin Labelling Protocols for Measurement of Cerebral Blood Flow

This study optimizes and compares pseudo-continuous arterial spin labeling protocols for cerebral blood flow measurement, finding that a hybrid protocol provides more accurate and repeatable results.

Intensity Warping for multisite MRI Harmonization

This paper develops a method to reduce technical variation in multisite MRI data by aligning intensity distributions across scanners.

Custom-molded headcases have limited efficacy in reducing head motion during naturalistic fMRI experiments

This study evaluates the effectiveness of custom-molded headcases in reducing head motion during naturalistic fMRI tasks and finds they offer limited benefit compared to foam pillows and medical tape.

High-resolution line-scanning reveals distinct visual response properties across human cortical layers

This study demonstrates line-scanning fMRI as a high-resolution non-invasive method to map functional properties of human cortical layers during visual stimulation.

The Set Increment with Limited Views Encoding Ratio (SILVER) Method for Optimizing Radial Sampling of Dynamic MRI

The paper introduces SILVER, a radial sampling method for MRI that improves SNR and uniformity compared to golden ratio sampling in dynamic imaging.