Multi-parametric artificial neural network fitting of phase-cycled balanced steady-state free precession data.

Rahel HeuleJonas BauseOrso Pusterla Klaus Scheffler

Published in: Magnetic resonance in medicine (2020)

ANNs show promise to provide accurate brain tissue T1 and T2 values as well as reliable field map estimates. Moreover, the bSSFP acquisition can be accelerated by reducing the number of phase-cycles while still delivering robust T1 , T2 , B 1 + , and ∆B0 estimates.

Keyphrases

neural network
big data
resting state
white matter
electronic health record
high resolution
functional connectivity
high density
artificial intelligence
subarachnoid hemorrhage