T2 relaxation-time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms.

Kevin R Keene Jan-Willem M Beenakker Melissa T Hooijmans Karin J Naarding Erik H Niks Louise A M Otto Ludo W van der Pol Martijn R Tannemaat Hermien E Kan Martijn Froeling

Published in: Magnetic resonance in medicine (2020)

In vivo data showed a decline in T2water for increasing fat fractions, which has important implications for clinical studies, especially in multicenter settings. We recommend using an extended phase graph-based model for fitting T2water from MSE sequences with two-component T2fat calibration. Moreover, we recommend including the slice flip-angle profile in the model with correction for through-plane chemical-shift displacements.

Keyphrases

skeletal muscle
adipose tissue
high resolution
machine learning
convolutional neural network
fatty acid
electronic health record
deep learning
clinical trial
big data
magnetic resonance imaging
single molecule
data analysis