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 …
Deep learning-based reconstruction for cardiac MRI: a review
Cardiac magnetic resonance (CMR) is an essential clinical tool for the assessment of
cardiovascular disease. Deep learning (DL) has recently revolutionized the field through …
cardiovascular disease. Deep learning (DL) has recently revolutionized the field through …
[HTML][HTML] Late gadolinium enhancement cardiovascular magnetic resonance with generative artificial intelligence
OB Demirel, F Ghanbari, CW Hoeger, CW Tsao… - Journal of …, 2025 - Elsevier
Background Late gadolinium enhancement (LGE) cardiovascular magnetic resonance
(CMR) imaging enables imaging of scar/fibrosis and is a cornerstone of most CMR imaging …
(CMR) imaging enables imaging of scar/fibrosis and is a cornerstone of most CMR imaging …
Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning
Deep learning (DL) has emerged as a leading approach in accelerating MRI. It employs
deep neural networks to extract knowledge from available datasets and then applies the …
deep neural networks to extract knowledge from available datasets and then applies the …
Clinical impact of novel cardiovascular magnetic resonance technology on patients with congenital heart disease: a scientific statement of the Association for …
I Voges, F Raimondi, CJ McMahon… - European Heart …, 2024 - academic.oup.com
Cardiovascular magnetic resonance (CMR) imaging is recommended in patients with
congenital heart disease (CHD) in clinical practice guidelines as the imaging standard for a …
congenital heart disease (CHD) in clinical practice guidelines as the imaging standard for a …
GRASP reconstruction amplified with view‐sharing and KWIC filtering reduces underestimation of peak velocity in highly‐accelerated real‐time phase‐contrast MRI: A …
Purpose To develop a highly‐accelerated, real‐time phase contrast (rtPC) MRI pulse
sequence with 40 fps frame rate (25 ms effective temporal resolution). Methods Highly …
sequence with 40 fps frame rate (25 ms effective temporal resolution). Methods Highly …
[HTML][HTML] Accelerated phase-contrast magnetic resonance imaging with use of resolution enhancement generative adversarial neural network
MA Morales, F Ghanbari, ÖB Demirel, JA Street… - Journal of …, 2025 - Elsevier
Background Cardiovascular magnetic resonance (CMR) phase contrast is used to quantify
blood flow. We sought to develop a complex-difference reconstruction for inline super …
blood flow. We sought to develop a complex-difference reconstruction for inline super …
Impact of compressed sensing (CS) acceleration of two-dimensional (2D) flow sequences in clinical paediatric cardiovascular magnetic resonance (CMR)
Abstract Objectives Two-dimensional (2D) through-plane phase-contrast (PC) cine flow
imaging assesses shunts and valve regurgitations in paediatric CMR and is considered the …
imaging assesses shunts and valve regurgitations in paediatric CMR and is considered the …
On the Foundation Model for Cardiac MRI Reconstruction
In recent years, machine learning (ML) based reconstruction has been widely investigated
and employed in cardiac magnetic resonance (CMR) imaging. ML-based reconstructions …
and employed in cardiac magnetic resonance (CMR) imaging. ML-based reconstructions …
Accelerated Phase-Contrast Flow MRI with Low-Rank and Generative Subspace Modeling
Phase-contrast magnetic resonance imaging (PC-MRI) has been developed into a powerful
technique for measuring blood flow dynamics in the heart and great vessels. However, its …
technique for measuring blood flow dynamics in the heart and great vessels. However, its …