[2309.00569] Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease
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Electrical Engineering and Systems Science > Image and Video Processing

arXiv:2309.00569 (eess)
[Submitted on 1 Sep 2023]

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

Authors:Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
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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.
Comments: Abstract submitted and presented to the International Society of Magnetic Resonance in Medicine (ISMRM 2023), Toronto, Canada
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2309.00569 [eess.IV]
  (or arXiv:2309.00569v1 [eess.IV] for this version)
  https://doi.org/10.48550/arXiv.2309.00569

Submission history

From: Fernando Vega Lara [view email]
[v1] Fri, 1 Sep 2023 16:26:42 UTC (6,609 KB)
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