In this work, an image translation model is implemented to produce synthetic
amyloid-beta PET images from structural MRI that are quantitatively accurate.
Image pairs of amyloid-beta PET and structural MRI were used to train the
model. We found that the synthetic PET images could be produced with a high
degree of similarity to truth in terms of shape, contrast and overall high SSIM
and PSNR. This work demonstrates that performing structural to quantitative
image translation is feasible to enable the access amyloid-beta information
from only MRI.Comment: Abstract submitted and presented to the International Society of
Magnetic Resonance in Medicine (ISMRM 2023), Toronto, Canad