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September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

AV1451 Tau PET Synthesis from T1-weighted MR Images with U-NET

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FLFernando LaraMMMaryellen C. MacDonald

Key Points

  • The model synthesized tau PET images with high similarity, achieving a mean SSIM of 0.96, indicating strong performance.
  • Validation on 128 image pairs demonstrated reliable synthesis with low MAE for SUVR, supporting model effectiveness.
  • Leveraging non-invasive MRI data for synthesizing PET images could facilitate large cohort studies and enhance patient safety.
  • The synthesized AV1451 PET images can reduce costs associated with traditional PET imaging methodologies.

Abstract

Motivation: Alzheimer's Disease hallmarks include tau deposits and brain atrophy, detectable via PET and MRI, respectively. PET is expensive, invasive, exposes patients to ionizing radiation, whereas MRI is a cheaper, non-invasive, free from ionizing radiation but limited to measuring structural changes. Goal(s): Develop a three-dimensional image-translation model synthesizing tau PET images from T1-weighted MRI, capitalizing on the relationship between tau and brain atrophy. Approach: The model was trained with 297 PET/MRI pairs and validated with 128 pairs Results: The model synthesized tau-PET images from T1-weighter MRI with high-degree of similarity reflected in high mean SSIM and PSNR (SSIM=0.96&PSNR=29.76), and low MAE in SUVR synthesis. Impact: Our model proves the feasibility of synthesizing AV-1451 PET images from T1-weighted MRI, an approach that could enhance the accessibility for large cohort-studies and early dementia detection, while also reducing costs, invasiveness, and enhancing patient safety by limiting radiation exposure.

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Cite This Study

Lara et al. (2025) studied this question.

synapsesocial.com/papers/68d45b0b31b076d99fa5cf57https://doi.org/10.58530/2025/3230
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