Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.

Qiang Zhang Matthew K Burrage Mayooran Shanmuganathan Ricardo A GonzalesElena LukaschukKatharine E ThomasRebecca MillsJoana Leal PeladoChrysovalantou Nikolaidou Iulia A PopescuYung P LeeXinheng ZhangRohan DharmakumarSaul Gareth Myerson Oliver J Ridernull nullKeith M ChannonStefan Neubauer Steffen E Petersen Vanessa M Ferreira

Published in: Circulation (2022)

VNE demonstrated high agreement with LGE cardiovascular magnetic resonance for myocardial scar assessment in patients with previous myocardial infarction in visuospatial distribution and lesion quantification with superior image quality. VNE is a potentially transformative artificial intelligence-based technology with promise in reducing scan times and costs, increasing clinical throughput, and improving the accessibility of cardiovascular magnetic resonance in the near future.

Keyphrases

artificial intelligence
magnetic resonance
deep learning
big data
contrast enhanced
image quality
machine learning
left ventricular
computed tomography
heart failure
magnetic resonance imaging
convolutional neural network
dual energy
working memory