Recursive multiresolution convolutional neural networks for 3D aortic valve annulus planimetry.

Pascal Theriault-LauzierHind AlsosaimiNegareh MousaviJean BuithieuMarco SpazianoGiuseppe MartucciJames BrophyNicolo Piazza

Published in: International journal of computer assisted radiology and surgery (2020)

The proposed algorithm is the first application of CNN to aortic valve planimetry and achieves an accuracy on par with proposed automated methods for localization and approaches an expert-level accuracy for orientation. The method relies on no heuristic specific to the aortic valve and may be generalizable to other anatomical features.

Keyphrases

aortic valve
convolutional neural network
deep learning
transcatheter aortic valve replacement
transcatheter aortic valve implantation
aortic valve replacement
aortic stenosis
machine learning
high throughput
coronary artery disease
left ventricular