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

TL;DR

This paper presents an image translation model that synthesizes amyloid-beta PET images from structural MRI, enabling Alzheimer's disease screening without the need for PET scans by accurately replicating PET image features.

Contribution

The study introduces a novel image translation approach that generates synthetic amyloid-beta PET images from MRI, facilitating non-invasive Alzheimer's screening.

Findings

Synthetic PET images closely match real images in shape and contrast

High SSIM and PSNR indicate accurate image synthesis

Structural to quantitative image translation is feasible for amyloid-beta detection

Abstract

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.