We are pleased to announce a new publication in collaboration with Prof. Toschi titled ‘Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging’.

In this publication, 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.

Please read the full article here.