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MRI faraday cage performance during the lifetime of clinical MRI systems
MRI faraday cage performance during the lifetime of clinical MRI systems
This work investigated the performance of MRI Faraday cages (FCs) over the lifetime of clinical MRI systems, aiming to bet...
Robust determination of deuterium abundance in water
Robust determination of deuterium abundance in water
Quantitative Deuterium Metabolic Imaging, or DMI, is typically based on the natural abundance deuterium (2H) signal from w...
Enhancing SNR in MRI at 7T using wearable coils, dielectric resonators, and dipole antennas
Enhancing SNR in MRI at 7T using wearable coils, dielectric resonators, and dipole antennas
The twisted-pair (TP) coil design is a promising strategy for developing novel, flexible, wearable MRI detectors that can ...
Advanced methods in deuterium metabolic imaging
Advanced methods in deuterium metabolic imaging
Deuterium metabolic imaging (DMI) has recently been established as a versatile MR-based technique for in vivo mapping of g...
Influence of co-registration on lesion characterization in diffusion-weighted breast MRI
Influence of co-registration on lesion characterization in diffusion-weighted breast MRI
To evaluate if co-registering Diffusion-Weighted Imaging (DWI) before generating Apparent Diffusion Coefficient (ADC) maps...
Standardizing quantitative muscle MRI: an inter-vendor evaluation in healthy adults
Standardizing quantitative muscle MRI: an inter-vendor evaluation in healthy adults
Quantitative muscle MRI (qMRI) is applied to detect muscular alterations, particularly in neuromuscular diseases (NMDs). A...
Design and chemical composition of a reference phantom for C metabolic MRSI
Design and chemical composition of a reference phantom for C metabolic MRSI
Development of a reproducible and long-term stable reference phantom for 13C metabolic MRSI, addressing the need for acces...
Deuterium metabolic imaging beyond the brain: mapping tissue metabolism across the body
Deuterium metabolic imaging beyond the brain: mapping tissue metabolism across the body
Deuterium metabolic imaging (DMI) is an emerging magnetic resonance technique that enables non-invasive investigation of i...
Navigator-gated free-breathing joint T–T mapping of the kidney
Navigator-gated free-breathing joint T–T mapping of the kidney
To develop and evaluate a free-breathing 2D radial joint T₁–T₂ mapping technique for the kidneys at 3T, ...
Well-designed k-space coverage is important for good MRI denoising
Well-designed k-space coverage is important for good MRI denoising
Modern computational MRI denoising approaches are often designed assuming fixed k-space coverage. This contrasts with earl...
Radial Hadamard-encoded F-MRI
Radial Hadamard-encoded F-MRI
Developing a 19F imaging method to acquire images of the molecular inflammation tracer perfluorooctyl bromide (PFOB) witho...
Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts
Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts
Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. ...
Open-source cardiac magnetic resonance fingerprinting
Open-source cardiac magnetic resonance fingerprinting
Cardiac magnetic resonance fingerprinting (cMRF) is a powerful quantitative imaging technique that provides multi-parametr...
Open-source, customizable phantom for low-field magnetic resonance imaging
Open-source, customizable phantom for low-field magnetic resonance imaging
This study aimed to describe important criteria for phantom design, while designing an open-source phantom that uses acces...
Self-supervised learning for MRI reconstruction: a review and new perspective
Self-supervised learning for MRI reconstruction: a review and new perspective
To review the latest developments in self-supervised deep learning (DL) techniques for magnetic resonance imaging&nbsp...
Fat–water MRI separation using deep complex convolution network
Fat–water MRI separation using deep complex convolution network
Deep complex convolutional networks (DCCNs) utilize complex-valued convolutions and can process complex-valued MRI signals...
Diffusion-weighted magnetic resonance spectroscopy with selective refocusing
Diffusion-weighted magnetic resonance spectroscopy with selective refocusing
To reduce errors from J-modulations and spectral overlap in dMRS of brain metabolites, this study combines the use of diff...