Present and future innovations in AI and cardiac MRI
MA Morales, WJ Manning, R Nezafat - Radiology, 2024 - pubs.rsna.org
Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …
DeepFittingNet: A deep neural network‐based approach for simplifying cardiac T1 and T2 estimation with improved robustness
R Guo, D Si, Y Fan, X Qian, H Zhang… - Magnetic …, 2023 - Wiley Online Library
Purpose To develop and evaluate a deep neural network (DeepFittingNet) for T1/T2
estimation of the most commonly used cardiovascular MR mapping sequences to simplify …
estimation of the most commonly used cardiovascular MR mapping sequences to simplify …
MyoFold: Joint myocardial tissue composition and wall motion quantification via a highly folded sequence
R Guo, Y Fan, B Liu, X Qian, J Dai, D Si… - Magnetic …, 2024 - Wiley Online Library
Purpose This study aims to develop and evaluate a novel cardiovascular MR sequence,
MyoFold, designed for the simultaneous quantifications of myocardial tissue composition …
MyoFold, designed for the simultaneous quantifications of myocardial tissue composition …
SwinUNet: a multiscale feature learning approach to cardiovascular magnetic resonance parametric mapping for myocardial tissue characterization
Objective. Cardiovascular magnetic resonance (CMR) can measure T1 and T2 relaxation
times for myocardial tissue characterization. However, the CMR procedure for T1/T2 …
times for myocardial tissue characterization. However, the CMR procedure for T1/T2 …