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In this work, an image translation model is implemented to produce syntheticamyloid-beta PET images from structural MRI that are quantitatively accurate.Image pairs of amyloid-beta PET and structural MRI were used to train themodel. We found that the synthetic PET images could be produced with a highdegree of similarity to truth in terms of shape, contrast and overall high SSIMand PSNR. This work demonstrates that performing structural to quantitativeimage translation is feasible to enable the access amyloid-beta informationfrom only MRI.

Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease