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Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques
Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques
Using deep learning-based techniques to overcome physical limitations and explore the potential performance of 0.2 T low-f...
Anatomical zone and tissue type impacts the repeatability of quantitative MRI parameters and radiomic features for longitudinal monitoring of treatment response in the prostate
Anatomical zone and tissue type impacts the repeatability of quantitative MRI parameters and radiomic features for longitudinal monitoring of treatment response in the prostate
To (1) establish the repeatability coefficient (%RC) of region of interest (ROI) and voxel-wise measurements of a comprehe...
Clinical validation of fully automated cartilage transverse relaxation time (T2) and thickness analysis using quantitative DESS magnetic resonance imaging
Clinical validation of fully automated cartilage transverse relaxation time (T2) and thickness analysis using quantitative DESS magnetic resonance imaging
To clinically validate a fully automated cartilage segmentation technique from quantitative double-echo steady-state (qDES...
Comparing repeatability metrics for quantitative susceptibility mapping in the head and neck
Comparing repeatability metrics for quantitative susceptibility mapping in the head and neck
Quantitative susceptibility mapping (QSM) is a technique that has been demonstrated to be highly repeatable in the brain. ...
Fast whole brain relaxometry with Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) at 3 T: a retrospective cohort study
Fast whole brain relaxometry with Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) at 3 T: a retrospective cohort study
To report T1/T2-values of normal and normal appearing brain tissues (NBTs, healthy volunteers; NABTs, patients) acquired w...
A dual-stage framework for segmentation of the brain anatomical regions with high accuracy
A dual-stage framework for segmentation of the brain anatomical regions with high accuracy
This study presents a novel deep learning-based framework for precise brain MR region segmentation, aiming to identify the...
Whole pancreas water T mapping at 3 Tesla
Whole pancreas water T mapping at 3 Tesla
A fast T1 mapping method of the whole pancreas remains a challenge, due to the complex anatomy of the organ. In addition, ...
MRI acquisition and reconstruction cookbook: recipes for reproducibility, served with real-world flavour
MRI acquisition and reconstruction cookbook: recipes for reproducibility, served with real-world flavour
MRI acquisition and reconstruction research has transformed into a computation-driven field. As methods become more sophis...
Myelin water fraction mapping with joint inversion of gradient-echo and spin-echo data
Myelin water fraction mapping with joint inversion of gradient-echo and spin-echo data
Accurate estimation of brain myelin-water content from multi-echo data is challenging due to the inherent ill-posedness of...
Using intra-voxel incoherent motion MRI to dynamically evaluate the attenuating effects of donafenib combined with carvedilol in a thioacetamide-induced hepatic fibrosis rat model
Using intra-voxel incoherent motion MRI to dynamically evaluate the attenuating effects of donafenib combined with carvedilol in a thioacetamide-induced hepatic fibrosis rat model
This study aimed to dynamically evaluate the attenuating effects of donafenib combined with carvedilol using intra-voxel i...
Metrology for MRI: the field you’ve never heard of
Metrology for MRI: the field you’ve never heard of
Quantitative MRI has been an active area of research for decades and has produced a huge range of approaches with enormous...
Assessing measurement consistency of a diffusion tensor imaging (DTI) quality control (QC) anisotropy phantom
Assessing measurement consistency of a diffusion tensor imaging (DTI) quality control (QC) anisotropy phantom
We evaluated a quality control (QC) phantom designed to mimic diffusion characteristics and white matter fiber tracts in t...
Multi-center QA of ultrahigh-field systems
Multi-center QA of ultrahigh-field systems
Over the past two decades, ultra-high field (UHF) magnetic resonance imaging (MRI) has evolved from pure investigational d...
Synthetic DWI: contrast improvement for diffusion-weighted imaging in prostate using T1 shine-through by synthesizing images with adjusted TR and TE
Synthetic DWI: contrast improvement for diffusion-weighted imaging in prostate using T1 shine-through by synthesizing images with adjusted TR and TE
To investigate whether synthetic DWI (SyDWI) calculated with short TR and zero TE can improve diffusion contrast in prosta...
The Pulseq-CEST Library: definition of preparations and simulations, example data, and example evaluations
The Pulseq-CEST Library: definition of preparations and simulations, example data, and example evaluations
Despite prevalent use of chemical exchange saturation transfer (CEST) MRI, standardization remains elusive. Imaging depend...
Easy scalable, low-cost open-source magnetic field detection system for evaluating low-field MRI magnets using a motion-tracked robot
Easy scalable, low-cost open-source magnetic field detection system for evaluating low-field MRI magnets using a motion-tracked robot
Low-field magnetic resonance imaging is currently developing into a valuable diagnostic tool due to its simplicity of magn...
The statistical impact of ROI referencing on quantitative susceptibility mapping
The statistical impact of ROI referencing on quantitative susceptibility mapping
In quantitative susceptibility mapping (QSM), it is impossible to define an absolute reference for the reconstructed susce...
Influence of orientation, size and shape of the region of interest in diffusion MRI along perivascular spaces index
Influence of orientation, size and shape of the region of interest in diffusion MRI along perivascular spaces index
Diffusion-tensor imaging (DTI) and diffusion-weighted imaging (DWI) along perivascular spaces (ALPS) index have been propo...
Accuracies of four simulation approaches in reproducing motion artifacts and morphometric parameter biases
Accuracies of four simulation approaches in reproducing motion artifacts and morphometric parameter biases
Despite widespread uses in MRI research, the relative accuracies of different motion artifact simulation approaches in rep...
Conversion map from quantitative parameter mapping to myelin water fraction: comparison with R1·R2* and myelin water fraction in white matter
Conversion map from quantitative parameter mapping to myelin water fraction: comparison with R1·R2* and myelin water fraction in white matter
To clarify the relationship between myelin water fraction (MWF) and R1⋅R2* and to develop a method to calculate MWF ...
Scoping review of magnetic resonance motion imaging phantoms
Scoping review of magnetic resonance motion imaging phantoms
To review and analyze the currently available MRI motion phantoms. Publications were collected from the Toronto M...
Quantifying H&E staining results, grading and predicting IDH mutation status of gliomas using hybrid multi-dimensional MRI
Quantifying H&E staining results, grading and predicting IDH mutation status of gliomas using hybrid multi-dimensional MRI
To assess the performance of hybrid multi-dimensional magnetic resonance imaging (HM-MRI) in quantifying hematoxylin and e...
A straightforward procedure to build a non-toxic relaxometry phantom with desired T1 and T2 times at 3T
A straightforward procedure to build a non-toxic relaxometry phantom with desired T1 and T2 times at 3T
To prepare and analyze soy-lecithin-agar gels for non-toxic relaxometry phantoms with tissue-like relaxation times at 3T. ...
Real-time automated quality control for quantitative MRI
Real-time automated quality control for quantitative MRI
This work presents an automated quality control (QC) system within quantitative MRI (qMRI) workflows. By leveraging the IS...
Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data
Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data
To enable high-quality physics-guided deep learning (PG-DL) reconstruction of large-scale 3D non-Cartesian coronary MRI by...
Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast
Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast
In a typical MR session, several contrasts are acquired. Due to the sequential nature of the data acquisition process, the...
Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement
Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement
This study investigated the feasibility of using deep learning-based super-resolution (DL-SR) technique on low-resolution ...
Chitosan-modified manganese oxide-conjugated methotrexate nanoparticles delivering 5-aminolevulinic acid as a dual-modal T1–T2* MRI contrast agent in U87MG cell detection
Chitosan-modified manganese oxide-conjugated methotrexate nanoparticles delivering 5-aminolevulinic acid as a dual-modal T1–T2* MRI contrast agent in U87MG cell detection
Glioblastoma multiforme is a highly aggressive form of brain cancer, and early diagnosis plays a pivotal role in improving...
Quantitative 23Na magnetic resonance imaging in the abdomen at 3 T
Quantitative 23Na magnetic resonance imaging in the abdomen at 3 T
To assess the feasibility of sodium-23 MRI for performing quantitative and non-invasive measurements of total sodium conce...
MRI-based virtual pathology of the prostate
MRI-based virtual pathology of the prostate
Prostate cancer poses significant diagnostic challenges, with conventional methods like prostate-specific antigen (PSA) sc...
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