Brain Parcellation Repeatability and Reproducibility Using Conventional and Quantitative 3D MR Imaging.

J B M Warntjes Peter Lundberg Anders Tisell

Published in: AJNR. American journal of neuroradiology (2023)

, and proton density maps to synthesize a 3D-T1-weighted image stack, which can be used for automatic brain parcellation. Synthetic parameter settings should be reinvestigated to reduce the observed bias.

Keyphrases

deep learning
white matter
resting state
contrast enhanced
magnetic resonance
cerebral ischemia
machine learning
magnetic resonance imaging
multiple sclerosis
computed tomography
electron transfer