Cardiac MRI: state of the art
Cardiac MRI plays an important role in the evaluation of cardiovascular diseases (CVDs),
including ischemic heart disease, cardiomyopathy, valvular disease, congenital disease …
including ischemic heart disease, cardiomyopathy, valvular disease, congenital disease …
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 …
Magnetic resonance parameter mapping using model‐guided self‐supervised deep learning
F Liu, R Kijowski, G El Fakhri… - Magnetic resonance in …, 2021 - Wiley Online Library
Purpose To develop a model‐guided self‐supervised deep learning MRI reconstruction
framework called reference‐free latent map extraction (RELAX) for rapid quantitative MR …
framework called reference‐free latent map extraction (RELAX) for rapid quantitative MR …
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
[HTML][HTML] High-resolution 3D MR Fingerprinting using parallel imaging and deep learning
MR Fingerprinting (MRF) is a relatively new imaging framework capable of providing
accurate and simultaneous quantification of multiple tissue properties for improved tissue …
accurate and simultaneous quantification of multiple tissue properties for improved tissue …
[HTML][HTML] A deep learning approach for magnetization transfer contrast MR fingerprinting and chemical exchange saturation transfer imaging
Semisolid magnetization transfer contrast (MTC) and chemical exchange saturation transfer
(CEST) MRI based on MT phenomenon have shown potential to evaluate brain …
(CEST) MRI based on MT phenomenon have shown potential to evaluate brain …
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) …
A self-supervised deep learning reconstruction for shortening the breathhold and acquisition window in cardiac magnetic resonance fingerprinting
JI Hamilton - Frontiers in Cardiovascular Medicine, 2022 - frontiersin.org
The aim of this study is to shorten the breathhold and diastolic acquisition window in cardiac
magnetic resonance fingerprinting (MRF) for simultaneous T1, T2, and proton spin density …
magnetic resonance fingerprinting (MRF) for simultaneous T1, T2, and proton spin density …
Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
Novel methods for quantitative, transient-state multiparametric imaging are increasingly
being demonstrated for assessment of disease and treatment efficacy. Here, we build on …
being demonstrated for assessment of disease and treatment efficacy. Here, we build on …
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 …