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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...
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...
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...
Phantoms for Quantitative Body MRI: a review and discussion of the phantom value
Phantoms for Quantitative Body MRI: a review and discussion of the phantom value
In this paper, we review the value of phantoms for body MRI in the context of their uses for quantitative MRI methods rese...
PyFaceWipe: a new defacing tool for almost any MRI contrast
PyFaceWipe: a new defacing tool for almost any MRI contrast
Defacing research MRI brain scans is often a mandatory step. With current defacing software, there are issues with Windows...
Quantitative MRI methods for the assessment of structure, composition, and function of musculoskeletal tissues in basic research and preclinical applications
Quantitative MRI methods for the assessment of structure, composition, and function of musculoskeletal tissues in basic research and preclinical applications
Osteoarthritis (OA) is a disabling chronic disease involving the gradual degradation of joint structures causing pain and ...
The beating heart: artificial intelligence for cardiovascular application in the clinic
The beating heart: artificial intelligence for cardiovascular application in the clinic
Artificial intelligence (AI) integration in cardiac magnetic resonance imaging presents new and exciting avenues for advan...
Motion robust coronary MR angiography using zigzag centric ky–kz trajectory and high-resolution deep learning reconstruction
Motion robust coronary MR angiography using zigzag centric ky–kz trajectory and high-resolution deep learning reconstruction
To develop a new MR coronary angiography (MRCA) technique by employing a zigzag fan-shaped centric ky–kz k-space tra...
Artificial intelligence for neuro MRI acquisition: a review
Artificial intelligence for neuro MRI acquisition: a review
To review recent advances of artificial intelligence (AI) in enhancing the efficiency and throughput of the MRI acquisitio...
MRI of kidney size matters
MRI of kidney size matters
To highlight progress and opportunities of measuring kidney size with MRI, and to inspire research into resolving the rema...
Cross2SynNet: cross-device–cross-modal synthesis of routine brain MRI sequences from CT with brain lesion
Cross2SynNet: cross-device–cross-modal synthesis of routine brain MRI sequences from CT with brain lesion
CT and MR are often needed to determine the location and extent of brain lesions collectively to improve diagnosis. Howeve...
Linearity and bias of proton density fat fraction across the full dynamic range of 0–100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sites
Linearity and bias of proton density fat fraction across the full dynamic range of 0–100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sites
Performance assessments of quantitative determinations of proton density fat fraction (PDFF) have largely focused on the r...
High-resolution prostate diffusion MRI using eddy current-nulled convex optimized diffusion encoding and random matrix theory-based denoising
High-resolution prostate diffusion MRI using eddy current-nulled convex optimized diffusion encoding and random matrix theory-based denoising
To develop and evaluate a technique combining eddy current-nulled convex optimized diffusion encoding (ENCODE) with random...
Fast online spectral-spatial pulse design for subject-specific fat saturation in cervical spine and foot imaging at 1.5 T
Fast online spectral-spatial pulse design for subject-specific fat saturation in cervical spine and foot imaging at 1.5 T
To compensate subject-specific field inhomogeneities and enhance fat pre-saturation with a fast online individual spectral...
Reply to Comment on ‘Nanodiamond incorporated human liver mimicking phantoms: prospective calibration medium of magnetic resonance imaging’
Reply to Comment on ‘Nanodiamond incorporated human liver mimicking phantoms: prospective calibration medium of magnetic resonance imaging’
Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University...
Stop moving: MR motion correction as an opportunity for artificial intelligence
Stop moving: MR motion correction as an opportunity for artificial intelligence
Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can seriously deteriorate the image q...
Improved reconstruction for highly accelerated propeller diffusion 1.5 T clinical MRI
Improved reconstruction for highly accelerated propeller diffusion 1.5 T clinical MRI
Propeller fast-spin-echo diffusion magnetic resonance imaging (FSE-dMRI) is essential for the diagnosis of Cholesteatoma. ...
Multi-target field control for matrix gradient coils
Multi-target field control for matrix gradient coils
Conventional single-target field control for matrix gradient coils will add control complexity in MRI spatial encoding, su...
Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting?
Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting?
The acquisition of images minutes or even hours after intravenous extracellular gadolinium-based contrast agents (GBCA) ad...
Impact of truncating diffusion MRI scans on diffusional kurtosis imaging
Impact of truncating diffusion MRI scans on diffusional kurtosis imaging
Diffusional kurtosis imaging (DKI) extends diffusion tensor imaging (DTI), characterizing non-Gaussian diffusion effects b...
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