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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...
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 ...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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 ...
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...
Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs
Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs
We aim to provide an overview of technical and clinical unmet needs in deep learning (DL) applications for quantitative an...
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...
Respiratory motion-corrected T1 mapping of the abdomen
Respiratory motion-corrected T1 mapping of the abdomen
The purpose of this study was to investigate an approach for motion-corrected T1 mapping of the abdomen that allows for fr...
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...
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...
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...
Assessment of hepatic transporter function in rats using dynamic gadoxetate-enhanced MRI: a reproducibility study
Assessment of hepatic transporter function in rats using dynamic gadoxetate-enhanced MRI: a reproducibility study
Previous studies have revealed a substantial between-centre variability in DCE-MRI biomarkers of hepatocellular function i...
Quantitative non-contrast perfusion MRI in the body using arterial spin labeling
Quantitative non-contrast perfusion MRI in the body using arterial spin labeling
Arterial spin labeling (ASL) is a non-invasive magnetic resonance imaging (MRI) method that enables the assessment and the...
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...
Deep learning for accelerated and robust MRI reconstruction
Deep learning for accelerated and robust MRI reconstruction
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical...
Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks
Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks
Quantitative parameter mapping conventionally relies on curve fitting techniques to estimate parameters from magnetic reso...
Free-breathing MRI techniques for fat and R2* quantification in the liver
Free-breathing MRI techniques for fat and R2* quantification in the liver
To review the recent advancements in free-breathing MRI techniques for proton-density fat fraction (PDFF) and R2* quantifi...
Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis
Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis
Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are well-known and powerful imaging techniques for MRI...
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...
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...
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...
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