English

Artificial Intelligence-Guided PET Image Reconstruction and Multi-Tracer Imaging: Novel Methods, Challenges, And Opportunities

Medical Physics 2025-09-05 v2

Abstract

LAFOV PET/CT has the potential to unlock new applications such as ultra-low dose PET/CT imaging, multiplexed imaging, for biomarker development and for faster AI-driven reconstruction, but further work is required before these can be deployed in clinical routine. LAFOV PET/CT has unrivalled sensitivity but has a spatial resolution of an equivalent scanner with a shorter axial field of view. AI approaches are increasingly explored as potential avenues to enhance image resolution.

Keywords

Cite

@article{arxiv.2509.00304,
  title  = {Artificial Intelligence-Guided PET Image Reconstruction and Multi-Tracer Imaging: Novel Methods, Challenges, And Opportunities},
  author = {Movindu Dassanayake and Alejandro Lopez and Andrew Reader and Gary J. R. Cook and Clemens Mingels and Arman Rahmim and Robert Seifert and Ian Alberts and Fereshteh Yousefirizi},
  journal= {arXiv preprint arXiv:2509.00304},
  year   = {2025}
}
R2 v1 2026-07-01T05:13:09.891Z