Multimodal magnetic resonance imaging predicts regional amyloid-β burden in the brain
A. Alathur Rangarajan, M. Wu, N. Joseph, H. Karim, C. Laymon, D. Tudorascu, A. Cohen, W. Klunk, H. Aizenstein
This study uses MRI modalities and machine learning to predict amyloid-β burden in the brain, showing that combined T1, T2, and SWI images perform best.
bioRxiv · Jan 17, 2020 · PreprintBioengineering