Deep learning-guided weighted averaging for signal dropout compensation in DWI of the liver.

Fasil GadjimuradovThomas BenkertMarcel Dominik NickelTobit FuehresMarc SaakeAndreas Maier

Published in: Magnetic resonance in medicine (2022)

This work presents an effective and flexible method for the local compensation of signal dropouts resulting from motion and pulsation. Because DLAWA follows a retrospective approach, no changes to the acquisition are required.

Keyphrases

deep learning
magnetic resonance
contrast enhanced
diffusion weighted imaging
diffusion weighted
artificial intelligence
machine learning
network analysis
high speed
computed tomography
mass spectrometry
high resolution