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 …
Artificial intelligence to reduce or eliminate the need for gadolinium-based contrast agents in brain and cardiac MRI: a literature review
Brain and cardiac MRIs are fundamental noninvasive imaging tools, which can provide
important clinical information and can be performed without or with gadolinium-based …
important clinical information and can be performed without or with gadolinium-based …
[HTML][HTML] Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy
Background Myocardial scar burden quantified using late gadolinium enhancement (LGE)
cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic …
cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic …
The road toward reproducibility of parametric mapping of the heart: a technical review
Parametric mapping of the heart has become an essential part of many cardiovascular
magnetic resonance imaging exams, and is used for tissue characterization and diagnosis …
magnetic resonance imaging exams, and is used for tissue characterization and diagnosis …
Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning
Objectives To investigate the diagnostic performance of deep transfer learning (DTL) to
detect liver cirrhosis from clinical MRI. Methods The dataset for this retrospective analysis …
detect liver cirrhosis from clinical MRI. Methods The dataset for this retrospective analysis …
[HTML][HTML] Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach
Purpose To develop and evaluate MyoMapNet, a rapid myocardial T 1 mapping approach
that uses fully connected neural networks (FCNN) to estimate T 1 values from four T 1 …
that uses fully connected neural networks (FCNN) to estimate T 1 values from four T 1 …
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 …
Emerging techniques in cardiac magnetic resonance imaging
R Guo, S Weingärtner, P Šiurytė… - Journal of Magnetic …, 2022 - Wiley Online Library
Cardiovascular disease is the leading cause of death and a significant contributor of health
care costs. Noninvasive imaging plays an essential role in the management of patients with …
care costs. Noninvasive imaging plays an essential role in the management of patients with …
[HTML][HTML] Magnetic resonance myocardial T1ρ mapping: Technical overview, challenges, emerging developments, and clinical applications
The potential of cardiac magnetic resonance to improve cardiovascular care and patient
management is considerable. Myocardial T1-rho (T1ρ) mapping, in particular, has emerged …
management is considerable. Myocardial T1-rho (T1ρ) mapping, in particular, has emerged …
[HTML][HTML] Myocardial T1-mapping and extracellular volume in pulmonary arterial hypertension: A systematic review and meta-analysis
Introduction Elevated myocardial T 1-mapping and extracellular volume (ECV) measured on
cardiac MR (CMR) imaging is associated with myocardial abnormalities such as oedema or …
cardiac MR (CMR) imaging is associated with myocardial abnormalities such as oedema or …