  Motivation: Alzheimer's Disease hallmarks include amyloid-beta deposits and
brain atrophy, detectable via PET and MRI scans, respectively. PET is
expensive, invasive and exposes patients to ionizing radiation. MRI is cheaper,
non-invasive, and free from ionizing radiation but limited to measuring brain
atrophy.
  Goal: To develop an 3D image translation model that synthesizes amyloid-beta
PET images from T1-weighted MRI, exploiting the known relationship between
amyloid-beta and brain atrophy.
  Approach: The model was trained on 616 PET/MRI pairs and validated with 264
pairs.
  Results: The model synthesized amyloid-beta PET images from T1-weighted MRI
with high-degree of similarity showing high SSIM and PSNR metrics
(SSIM>0.95&PSNR=28).
  Impact: Our model proves the feasibility of synthesizing amyloid-beta PET
images from structural MRI ones, significantly enhancing accessibility for
large-cohort studies and early dementia detection, while also reducing cost,
invasiveness, and radiation exposure.
