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Fast zero-shot deep learning-based denoising method for low-field MR images
Fast zero-shot deep learning-based denoising method for low-field MR images
Denoising low-field MR images is often essential to obtain image quality that is adequate for clinical diagnosis while kee...
Research progress of deep learning based on magnetic resonance imaging in meningioma
Research progress of deep learning based on magnetic resonance imaging in meningioma
This review aims to summarize the research progress of magnetic resonance imaging (MRI)-based deep learning ( DL) in menin...
Abdominal T relaxation times at 7T
Abdominal T relaxation times at 7T
To quantify the T1 relaxation times at 7T for key abdominal organs and tissues, including the liver, kidney, spleen, and s...
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...
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...
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...
Evaluating spatial resolution in prostate MR images: the utility of the ladder method
Evaluating spatial resolution in prostate MR images: the utility of the ladder method
Evaluating prostate MRI resolution is challenging due to motion artifacts caused by body movement or intestinal gas, which...
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...