Advanced MRI Techniques and Applications

Mastering Artifact Correction in Neuroimaging Analysis: A Retrospective Approach

MOANA corrects MRI artifacts using deep learning, achieving high performance in FLAIR contrast with SSIM 0.9803 and NMI 0.8030.

Direct imaging of neural activity reveals neural circuits via spatiotemporal activation mapping

This study demonstrates that DIANA fMRI can reveal multiple neural circuits through spatiotemporal activation mapping in anesthetized mice.

A Denoising Convolutional Autoencoder for SNR Enhancement in Chemical Exchange Saturation Transfer imaging: (DCAE-CEST)

This paper develops a denoising convolutional autoencoder for CEST imaging to enhance SNR and compares it to existing methods, showing improved performance in both simulated and in vivo data.

7 Tesla MRS estimates of GABA concentration relate to physiological measures of tonic inhibition in the human motor cortex

The paper uses 7 Tesla MRS and TMS-hdEEG to show that MRS-GABA correlates with physiological measures of tonic inhibition in the human motor cortex.

Advancing Thalamic Nuclei Segmentation: The Impact of Compressed Sensing and FastSurfer on MRI Processing

This study evaluates thalamic nuclei segmentation using compressed sensing MRI and FastSurfer, finding minimal sequence effects and comparable segmentation quality between methods.

Modeling Normal Mouse Uterine Contraction and Placental Perfusion with Non- invasive Longitudinal Dynamic Contrast Enhancement MRI

This paper develops a non-invasive DCE-MRI pipeline to model uterine contraction and placental perfusion dynamics in mice, revealing asymmetric placental contractile motion.

DeepRetroMoCo: Deep neural network-based Retrospective Motion Correction Algorithm for Spinal Cord functional MRI

DeepRetroMoCo improves motion correction in spinal cord fMRI data by outperforming sct_fmri_moco in tSNR, DVARS, and processing time.

Dynamic off-resonance correction improves functional image analysis in fMRI of awake behaving non-human primates

This study improves functional MRI analysis in awake non-human primates by applying dynamic off-resonance correction, enhancing image fidelity and activation estimates.

Increasing the representation of minoritized youth for inclusive and reproducible brain-behavior associations

The paper tests motion-ordering and motion-ordering+resampling methods to retain minoritized youth in fMRI data analysis, improving representation and reproducibility of brain-behavior associations.

Improving the reliability of T2 measurement in magnetic resonance imaging

This study investigates factors affecting T2 measurement reliability in MRI using Monte Carlo simulations and finds that SNR, TE range, and repetition number influence reproducibility.

A New Halogenated Solvent For Ex Vivo Magnetic Resonance Imaging

The paper validates a non-PFAS, proton-free solvent for ex vivo MRI scanning as a potential replacement for fluorinated solvents.

The within-subject stability of cortical thickness, surface area, and brain volumes across one year

This study evaluates the stability of brain structure metrics over one year and identifies factors affecting their reliability.

On the influence of the vascular architecture on Gradient Echo and Spin Echo BOLD fMRI signals across cortical depth: a simulation approach based on realistic 3D vascular networks

This study simulates BOLD fMRI signals across cortical depth using realistic 3D vascular models to assess how vascular architecture influences GE and SE BOLD contrast.

A fully synthetic three-dimensional human cerebrovascular model based on histological characteristics to investigate the hemodynamic fingerprint of the layer BOLD fMRI signal formation

The paper presents a computational framework to simulate BOLD fMRI signal formation in a synthetic human 3D cortical vasculature model, showing that human-specific features significantly affect the BOLD fingerprint.

RF coil design strategies for improving SNR at the ultrahigh magnetic field of 10.5 Tesla

The paper develops a high-channel-count RF coil array for 10.5T MRI, achieving high SNR and demonstrating high-resolution brain imaging at this field strength.

Efficient 3D cone trajectory design for improved combined angiographic and perfusion imaging using arterial spin labeling

This paper introduces an efficient 3D cone trajectory design for improved spatial resolution and repeatability in combined angiographic and perfusion MRI using arterial spin labeling.

Mapping vascular network architecture in primate brain using ferumoxytol-weighted laminar MRI

This study maps vascular networks in primate brains using ferumoxytol-weighted MRI, revealing regional variations in vascular volume and its relationship with neuronal and receptor densities.

Comparison of MR coil options for concurrent TMS-fMRI

This study compares the temporal-signal-to-noise ratio (tSNR) of three MR head coils used with TMS-fMRI, finding that dedicated surface coils provide high tSNR under TMS but lower elsewhere.

Single-shot water-fat imaging with multi-echo blip-rewound EPI

This paper develops a single-shot water-fat imaging technique using multi-echo blip-rewound EPI and Dixon-based post-processing, achieving faster and more robust separation of water and fat signals in MRI.

Frequency and Phase Correction of GABA-Edited Magnetic Resonance Spectroscopy using Complex-Valued Convolutional Neural Networks

This study compares complex-valued and real-valued inputs and convolutions in CNNs for frequency and phase correction of GABA-edited MRS data, finding complex inputs with real convolutions most effective.

Quantification of water exchange across the blood-brain barrier using non-contrast MR fingerprinting

The paper proposes a method to quantify cerebral blood volume and intravascular water residence time using non-contrast MR fingerprinting, showing feasibility in vivo.

Individual variability in the relationship between physiological and resting-state fMRI metrics

The paper examines individual variability in the relationship between resting-state fMRI metrics and cerebrovascular reactivity (CVR) using longitudinal data from 7 subjects with 10 sessions each.

High spatiotemporal resolution radial encoding single vessel fMRI

This paper introduces radial encoding MRI to achieve high spatiotemporal resolution single-vessel fMRI in rat somatosensory cortex, enabling detailed hemodynamic mapping of microvessels.

Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation

This study compares 1D and 2D linear-combination modeling of MRS data, finding similar accuracy and uncertainty estimation between the two approaches, with 2D showing stability under correlated noise.

Cerebellar Ex Vivo Magnetic Resonance Imaging at its Feasibility Limit: Up to 77-Microns Isotropic Resolution using Low-Bandwidth Balanced Steady State Free Precession (LoBa-bSSFP) Sequences and 3T Standard Equipment

This paper demonstrates a new MRI technique, LoBa-bSSFP, achieving 77-micron isotropic resolution for ex vivo cerebellar imaging using standard 3T equipment.

Quantitative metabolic reference for healthy human cerebrum derived from group averaged 9.4T 1H MRSI data

This paper quantifies metabolite concentrations in the human cerebrum using 9.4T 1H MRSI data and derives region-specific concentrations through group averaging.

Responses to membrane potential-modulating ionic solutions measured by magnetic resonance imaging of cultured cells and in vivo rat cortex

This study uses MRI to measure responses of cultured cells and in vivo rat cortex to ionic solutions that modulate membrane potential, finding changes in T2 relaxation time and bound-to-free water proton ratio.

No Replication of Direct Neuronal Activity-related (DIANA) fMRI in Anesthetized Mice

The paper attempts to replicate DIANA fMRI findings in anesthetized mice but fails to observe direct neuronal activity-like peaks, suggesting potential artifacts or data pre-selection issues.

Model-based frequency-and-phase correction of 1H MRS data with 2D linear-combination modeling.

This paper introduces a model-based frequency-and-phase correction method for 1H MRS data using 2D linear-combination modeling, showing improved performance over traditional approaches at low SNR.

Dynamic parallel transmit diffusion MRI at 7T

This paper applies dynamic parallel transmit (pTx) to improve whole-brain 7T diffusion MRI by reducing signal dropout and increasing SNR and diffusion fitting accuracy.