AI-Guided PET Image Reconstruction and Multi-Tracer Imaging: Novel Methods, Challenges, and Opportunities
Movindu Dassanayake, Alejandro Lopez, Andrew Reader, Gary J. R. Cook, Clemens Mingels, Arman Rahmim, Robert Seifert, Ian Alberts, Fereshteh Yousefirizi
公開日: 2025/8/30
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.