Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging

We propose a novel approach for the non-invasive quantification of dynamic PET imaging data, focusing on the arterial input function (AIF) without the need for invasive arterial cannulation.