An AI-based pipeline for automatic image fusion of cardiac CTCA and perfusion MRI

The diagnostic accuracy of model-based quantitative perfusion cardiac MR at 3.0T for the detection of flow-limiting coronary artery disease

Evaluation of Therapeutic Effect of Myocardial Infarction Patch Using Cardiac Magnetic Resonance Imaging

Myocardial perfusion measurements with a deep learning-assisted cardiac arterial spin labeling (DeepCASL): towards validation by microsphere

Author:Ran Li  Jie Zheng  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Cardiovascular: Perfusion & Scar Imaging  

Program Number:1510  

Room Session:Exhibition Hall (Hall 403)  

Institution:Washington University in Saint Louis  

Non-Contrast Myocardium Perfusion using Stacks-of-Stars (SoS) Time-SLIP

Author:Diana Vucevic  Vadim Malis  Paul Kim  Mitsue Miyazaki  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Cardiovascular: Perfusion & Scar Imaging  

Program Number:1502  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of California San Diego  

Patch-based Motion-compensated Image Filter to Improve SNR of Free-Breathing Whole Heart Cardiac MR Late Gadolinium Enhancement Images at 0.55T

Predicting Late Gadolinium Enhancement of Acute Myocardial Infarction in Contrast-free Cardiac Cine MRI using Deep Generative Learning

The prediction value of CMR first-pass perfusion parameters for left ventricular reverse remodeling in dilated cardiomyopathy

Quantification of Myocardial Blood Flow using Radial Simultaneous Multi-Slice Perfusion MRI

Quantitative Myocardial MR Perfusion: Accurate Delay Estimation through Deep-Learning based Outlier Detection

Rapid 2D Myocardial Late Gadolinium Enhancement Imaging with Resolution Enhancement Generative Adversarial Inline Neural Network