Automatic segmentation of the great arteries for computational hemodynamic assessment.

Javier Montalt-TorderaEndrit PajazitiRod JonesEmilie SauvageRajesh PuranikAakansha Ajay Vir SinghClaudio CapelliJennifer SteedenSilvia SchievanoVivek Muthurangu

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

ML can successfully segment the great vessels for CFD, with errors similar to inter-observer variability. This fast, automatic method reduces the time and effort needed for CFD analysis, making it more attractive for routine clinical use.

Keyphrases

deep learning
machine learning
convolutional neural network
clinical practice
patient safety
neural network
emergency department
adverse drug
blood flow
data analysis