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

Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
9/1/2023
eess.IVcs.CVcs.LG

No confident code implementation found for this paper.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{vega2023amyloidbeta,
  title  = {Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease},
  author = {Fernando Vega and Abdoljalil Addeh and M. Ethan MacDonald},
  year   = {2023},
  eprint = {2309.00569},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.00569v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2309.00569.svg)](https://codeofpaper.com/paper/2309.00569)

Discussion