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Repeatability of 3D MR fingerprinting during scanner software upgrades
Repeatability of 3D MR fingerprinting during scanner software upgrades
This study aims to quantify the repeatability of a 3D Magnetic Resonance Fingerprinting (MRF) research protocol in the con...
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 ...
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...
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 ...
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 ...
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...
Correction to: Motion robust coronary MR angiography using zigzag centric ky–kz trajectory and high-resolution deep learning reconstruction
Correction to: Motion robust coronary MR angiography using zigzag centric ky–kz trajectory and high-resolution deep learning reconstruction
Department of Advanced Radiological Imaging Collaborative Research, Graduate School of Medicine, Tohoku University, Sendai...
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...
Fast bias-corrected conductivity mapping using stimulated echoes
Fast bias-corrected conductivity mapping using stimulated echoes
To demonstrate the potential of a double angle stimulated echo (DA-STE) method for fast and accurate “full” ho...
SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data
SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data
Despite the prevalent use of the general linear model (GLM) in fMRI data analysis, assuming a pre-defined hemodynamic resp...
Parameter optimization for proton density fat fraction quantification in skeletal muscle tissue at 7 T
Parameter optimization for proton density fat fraction quantification in skeletal muscle tissue at 7 T
To establish an image acquisition and post-processing workflow for the determination of the proton density fat fraction (P...
Signal drift in diffusion MRI of the brain: effects on intravoxel incoherent motion parameter estimates
Signal drift in diffusion MRI of the brain: effects on intravoxel incoherent motion parameter estimates
Signal drift has been put forward as one of the fundamental confounding factors in diffusion MRI (dMRI) of the brain. This...
Towards assessing and improving the reliability of ultrashort echo time quantitative magnetization transfer (UTE-qMT) MRI of cortical bone: In silico and ex vivo study
Towards assessing and improving the reliability of ultrashort echo time quantitative magnetization transfer (UTE-qMT) MRI of cortical bone: In silico and ex vivo study
To assess and improve the reliability of the ultrashort echo time quantitative magnetization transfer (UTE-qMT) modeling o...
Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning
Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning
Deep learning has shown great promise for fast reconstruction of accelerated MRI acquisitions by learning from large amoun...
Improving the lesion appearance on FLAIR images synthetized from quantitative MRI: a fast, hybrid approach
Improving the lesion appearance on FLAIR images synthetized from quantitative MRI: a fast, hybrid approach
The image quality of synthetized FLAIR (fluid attenuated inversion recovery) images is generally inferior to its conventio...
DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI
DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI
Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robu...
Fast, high-quality, and unshielded 0.2 T low-field mobile MRI using minimal hardware resources
Fast, high-quality, and unshielded 0.2 T low-field mobile MRI using minimal hardware resources
To propose a deep learning-based low-field mobile MRI strategy for fast, high-quality, unshielded imaging using minimal ha...
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 ...
Development of a cost-effective 3D-printed MRI phantom for enhanced teaching of system performance and image quality concepts
Development of a cost-effective 3D-printed MRI phantom for enhanced teaching of system performance and image quality concepts
This research highlights the need for affordable phantoms for MRI education. Current options are either expensive or limit...
A short-TR single-echo spin-echo breath-hold method for assessing liver T2
A short-TR single-echo spin-echo breath-hold method for assessing liver T2
Conventional single-echo spin-echo T2 mapping used for liver iron quantification is too long for breath-holding. This stud...
FastPtx: a versatile toolbox for rapid, joint design of pTx RF and gradient pulses using Pytorch’s autodifferentiation
FastPtx: a versatile toolbox for rapid, joint design of pTx RF and gradient pulses using Pytorch’s autodifferentiation
With modern optimization methods, free optimization of parallel transmit pulses together with their gradient waveforms can...
Liver T1 and T2 mapping in a large cohort of healthy subjects: normal ranges and correlation with age and sex
Liver T1 and T2 mapping in a large cohort of healthy subjects: normal ranges and correlation with age and sex
We established normal ranges for native T1 and T2 values in the human liver using a 1.5 T whole-body imager (Gene...
Automatic segmentation of the interscapular brown adipose tissue in rats based on deep learning using the dynamic magnetic resonance fat fraction images
Automatic segmentation of the interscapular brown adipose tissue in rats based on deep learning using the dynamic magnetic resonance fat fraction images
The study aims to propose an accurate labelling method of interscapular BAT (iBAT) in rats using dynamic MR fat fraction (...
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck
To investigate the utility of deep learning (DL)-based image reconstruction using a model-based approach in head and neck ...
Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI
Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI
This study aims to assess the statistical significance of training parameters in 240 dense UNets (DUNets) used for enhanci...
Compressed SVD-based L + S model to reconstruct undersampled dynamic MRI data using parallel architecture
Compressed SVD-based L + S model to reconstruct undersampled dynamic MRI data using parallel architecture
Magnetic Resonance Imaging (MRI) is a highly demanded medical imaging system due to high resolution, large volumetric cove...
Cranial bone imaging using ultrashort echo-time bone-selective MRI as an alternative to gradient-echo based “black-bone” techniques
Cranial bone imaging using ultrashort echo-time bone-selective MRI as an alternative to gradient-echo based “black-bone” techniques
CT is the clinical standard for surgical planning of craniofacial abnormalities in pediatric patients. This study evaluate...
Physiological confounders of renal blood flow measurement
Physiological confounders of renal blood flow measurement
Renal blood flow (RBF) is controlled by a number of physiological factors that can contribute to the variability of its me...
New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal
New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal
Contemporary whole-body low-field MRI scanners (< 1 T) present new and exciting opportunities for im...
Quantitative imaging through the production chain: from idea to application
Quantitative imaging through the production chain: from idea to application
Conflict of interest Tom Hilbert is an employee of Siemens Healthin...
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