Emerging trends in fast MRI using deep-learning reconstruction on undersampled k-space data: a systematic review
Magnetic Resonance Imaging (MRI) is an essential medical imaging modality that provides
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
Systematic review of reconstruction techniques for accelerated quantitative MRI
Purpose To systematically review the techniques that address undersampling artifacts in
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging
Purpose Advanced MRI-based biomarkers offer comprehensive and quantitative information
for the evaluation and characterization of brain tumors. In this study, we report initial clinical …
for the evaluation and characterization of brain tumors. In this study, we report initial clinical …
[HTML][HTML] Learning residual motion correction for fast and robust 3D multiparametric MRI
Voluntary and involuntary patient motion is a major problem for data quality in clinical
routine of Magnetic Resonance Imaging (MRI). It has been thoroughly investigated and, yet …
routine of Magnetic Resonance Imaging (MRI). It has been thoroughly investigated and, yet …
Deep unrolling for magnetic resonance fingerprinting
Magnetic Resonance Fingerprinting (MRF) has emerged as a promising quantitative MR
imaging approach. Deep learning methods have been proposed for MRF and demonstrated …
imaging approach. Deep learning methods have been proposed for MRF and demonstrated …
Respiratory-correlated 4-dimensional magnetic resonance fingerprinting for liver cancer radiation therapy motion management
Purpose The objective of this study was to develop a respiratory-correlated (RC) 4-
dimensional (4D) imaging technique based on magnetic resonance fingerprinting (MRF)(RC …
dimensional (4D) imaging technique based on magnetic resonance fingerprinting (MRF)(RC …
Improved balanced steady-state free precession based MR fingerprinting with deep autoencoders
Magnetic Resonance (MR) Fingerprinting is an emerging transient-state imaging paradigm,
which enables the quantization of multiple MR tissue parameters in a single experiment …
which enables the quantization of multiple MR tissue parameters in a single experiment …
Accelerated MR Fingerprinting with Low-Rank and Generative Subspace Modeling
Magnetic Resonance (MR) Fingerprinting is an emerging multi-parametric quantitative MR
imaging technique, for which image reconstruction methods utilizing low-rank and subspace …
imaging technique, for which image reconstruction methods utilizing low-rank and subspace …
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting
M Golbabaee, C Poon - Inverse Problems, 2022 - iopscience.iop.org
We propose a novel numerical approach to separate multiple tissue compartments in image
voxels and to estimate quantitatively their nuclear magnetic resonance (NMR) properties …
voxels and to estimate quantitatively their nuclear magnetic resonance (NMR) properties …
A plug-and-play approach to multiparametric quantitative MRI: image reconstruction using pre-trained deep denoisers
Current spatiotemporal deep learning approaches to Magnetic Resonance Fingerprinting
(MRF) build artefact-removal models customised to a particular k-space subsampling pattern …
(MRF) build artefact-removal models customised to a particular k-space subsampling pattern …