IVCVLGSep 1, 2023

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

arXiv:2309.00569v1
Originality Synthesis-oriented
AI Analysis

This work addresses the need for accessible amyloid-beta information in Alzheimer's disease screening by enabling PET synthesis from MRI, but it is incremental as it applies existing translation methods to a specific medical imaging task.

The authors tackled the problem of generating synthetic amyloid-beta PET images from structural MRI using an image translation model, achieving high similarity to ground truth with high SSIM and PSNR scores.

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.

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