Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning.

Rhodri H DaviesJoão B AugustoAnish BhuvaHui XueThomas A TreibelYang YeRebecca K HughesWenjia BaiClement LauHunain ShiwaniMarianna FontanaRebecca KozorAnna HerreyLuis R LopesViviana MaestriniStefania RosminiSteffen E PetersenPeter KellmanDaniel RueckertJohn P GreenwoodGabriella CapturCharlotte ManistyErik SchelbertJames C Moon

Published in: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance (2022)

We present a fully automated algorithm for measuring LV structure and global systolic function that betters human performance for speed and precision.

Keyphrases

magnetic resonance
left ventricular
machine learning
deep learning
endothelial cells
blood pressure
heart failure
induced pluripotent stem cells
high throughput
computed tomography
neural network
atrial fibrillation