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Systematic evaluation of adhesives for implant fixation in multimodal functional brain MRI
Systematic evaluation of adhesives for implant fixation in multimodal functional brain MRI
Invasive multimodal fMRI in rodents is often compromised by susceptibility artifacts from adhesives used to secure cranial...
New physiological insights using multi-TE ASL MRI measuring blood–brain barrier water exchange after caffeine intake
New physiological insights using multi-TE ASL MRI measuring blood–brain barrier water exchange after caffeine intake
Caffeine, a known neurostimulant and adenosine antagonist, affects brain physiology by decreasing cerebral blood flow. It ...
FeCl3 and GdCl3 solutions as superfast relaxation modifiers for agarose gel: a quantitative analysis
FeCl3 and GdCl3 solutions as superfast relaxation modifiers for agarose gel: a quantitative analysis
This study aimed to evaluate the relaxivity and uniformity of agarose gel phantoms added with relaxation modifiers. It is ...
Brain tumor detection and segmentation using deep learning
Brain tumor detection and segmentation using deep learning
Brain tumor detection, classification and segmentation are challenging due to the heterogeneous nature of brain tumors. Di...
Enhancing MRI radiomics feature reproducibility and classification performance in Parkinson’s disease: a harmonization approach to gray-level discretization variability
Enhancing MRI radiomics feature reproducibility and classification performance in Parkinson’s disease: a harmonization approach to gray-level discretization variability
This study aimed to assess the reproducibility of MRI-derived radiomic features across multiple gray-level discretization ...
Morphology of the human inner ear and vestibulocochlear nerve assessed using 7 T MRI
Morphology of the human inner ear and vestibulocochlear nerve assessed using 7 T MRI
To optimize high-resolution 7 T MRI of the cochlea and measure normal cochlea and the cochlear nerve morphometry ...
Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction
Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction
Spatio-temporal MRI methods offer rapid whole-brain multi-parametric mapping, yet they are often hindered by prolonged rec...
Extraction of 3D trajectories of mandibular condyles from 2D real-time MRI
Extraction of 3D trajectories of mandibular condyles from 2D real-time MRI
Computing the trajectories of mandibular condyles directly from MRI could provide a comprehensive examination, providing b...
Design of multi-row parallel-transmit coil arrays for enhanced SAR efficiency with deep brain electrodes at 3T: an electromagnetic simulation study
Design of multi-row parallel-transmit coil arrays for enhanced SAR efficiency with deep brain electrodes at 3T: an electromagnetic simulation study
Tissue heating near the implanted deep brain stimulation (DBS) during magnetic resonance imaging (MRI) poses a significant...
Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits
Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits
To compare compressed sensing (CS) and the Cascades of Independently Recurrent Inference Machines (CIRIM) with respect to ...
Initial assessment of PNS safety for interventionalists during image-guided procedures
Initial assessment of PNS safety for interventionalists during image-guided procedures
This study investigates peripheral nerve stimulation (PNS) safety thresholds for health professionals performing MRI proce...
A method to measure renal inner medullary perfusion using MR renography
A method to measure renal inner medullary perfusion using MR renography
In the kidney, the medulla is most susceptible to damage in case of hampered perfusion or oxygenation. Due to separate reg...
Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine
Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine
By rapidly changing magnetic field strength between 0.2 and 200 mT during the pulse sequence Field-Cycling Imaging (FCI) m...
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...
s2MRI-ADNet: an interpretable deep learning framework integrating Euclidean-graph representations of Alzheimer’s disease solely from structural MRI
s2MRI-ADNet: an interpretable deep learning framework integrating Euclidean-graph representations of Alzheimer’s disease solely from structural MRI
To establish a multi-dimensional representation solely on structural MRI (sMRI) for early diagnosis of AD. A total of 3377...
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...
Accelerating multi-coil MR image reconstruction using weak supervision
Accelerating multi-coil MR image reconstruction using weak supervision
Deep-learning-based MR image reconstruction in settings where large fully sampled dataset collection is infeasible require...
Free-breathing qRF-MRF with pilot tone respiratory motion navigator for T1, T2, T2*, and off-resonance mapping of the human body at 3 T
Free-breathing qRF-MRF with pilot tone respiratory motion navigator for T1, T2, T2*, and off-resonance mapping of the human body at 3 T
Standard quantitative abdominal MRI techniques are time consuming, require breath-holds, and are susceptible to patient mo...
MRI recovery with self-calibrated denoisers without fully-sampled data
MRI recovery with self-calibrated denoisers without fully-sampled data
Acquiring fully sampled training data is challenging for many MRI applications. We present a self-supervised image reconst...
Signal-to-noise trade-offs between magnet diameter and shield-to-coil distance for cylindrical Halbach-based portable MRI systems for neuroimaging
Signal-to-noise trade-offs between magnet diameter and shield-to-coil distance for cylindrical Halbach-based portable MRI systems for neuroimaging
To investigate the trade-off between magnet bore diameter and the distance between the conductive Faraday shield and RF he...
Concentric-object and equiangular-object methods to perform standardized regional analysis in renal mpMRI
Concentric-object and equiangular-object methods to perform standardized regional analysis in renal mpMRI
Renal multiparametric magnetic resonance imaging (mpMRI) sequences, including T1–T2 mapping, Blood oxygenation level...
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...
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...
Metabolic changes assessed by 1H MR spectroscopy in the corpus callosum of post-COVID patients
Metabolic changes assessed by 1H MR spectroscopy in the corpus callosum of post-COVID patients
Many patients with long COVID experience neurological and psychological symptoms. Signal abnormalities on MR images in the...
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