Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends
Quantitative mapping of MR tissue parameters such as the spin‐lattice relaxation time (T1),
the spin‐spin relaxation time (T2), and the spin‐lattice relaxation in the rotating frame (T1ρ) …
the spin‐spin relaxation time (T2), and the spin‐lattice relaxation in the rotating frame (T1ρ) …
Magnetic resonance fingerprinting review part 2: Technique and directions
Magnetic resonance fingerprinting (MRF) is a general framework to quantify multiple MR‐
sensitive tissue properties with a single acquisition. There have been numerous advances in …
sensitive tissue properties with a single acquisition. There have been numerous advances in …
Magnetization transfer in magnetic resonance fingerprinting
Purpose To study the effects of magnetization transfer (MT, in which a semi‐solid spin pool
interacts with the free pool), in the context of magnetic resonance fingerprinting (MRF) …
interacts with the free pool), in the context of magnetic resonance fingerprinting (MRF) …
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method
Quantitative tissue characteristics, which provide valuable diagnostic information, can be
represented by magnetic resonance (MR) parameter maps using magnetic resonance …
represented by magnetic resonance (MR) parameter maps using magnetic resonance …
[HTML][HTML] Myelin water imaging data analysis in less than one minute
Purpose Based on a deep learning neural network (NN) algorithm, a super fast and easy to
implement data analysis method was proposed for myelin water imaging (MWI) to calculate …
implement data analysis method was proposed for myelin water imaging (MWI) to calculate …
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 …
Magnetic resonance fingerprinting: from evolution to clinical applications
JJL Hsieh, I Svalbe - Journal of Medical Radiation Sciences, 2020 - Wiley Online Library
Abstract In 2013, Magnetic Resonance Fingerprinting (MRF) emerged as a method for fast,
quantitative Magnetic Resonance Imaging. This paper reviews the current status of MRF up …
quantitative Magnetic Resonance Imaging. This paper reviews the current status of MRF up …
Deep learning–based MR fingerprinting ASL ReconStruction (DeepMARS)
Purpose To develop a reproducible and fast method to reconstruct MR fingerprinting arterial
spin labeling (MRF‐ASL) perfusion maps using deep learning. Method A fully connected …
spin labeling (MRF‐ASL) perfusion maps using deep learning. Method A fully connected …
Optimizing MRF‐ASL scan design for precise quantification of brain hemodynamics using neural network regression
A Lahiri, JA Fessler… - Magnetic resonance in …, 2020 - Wiley Online Library
Purpose Arterial Spin Labeling (ASL) is a quantitative, non‐invasive alternative for perfusion
imaging that does not use contrast agents. The magnetic resonance fingerprinting (MRF) …
imaging that does not use contrast agents. The magnetic resonance fingerprinting (MRF) …
Cramér–Rao bound‐informed training of neural networks for quantitative MRI
Purpose To improve the performance of neural networks for parameter estimation in
quantitative MRI, in particular when the noise propagation varies throughout the space of …
quantitative MRI, in particular when the noise propagation varies throughout the space of …