First results on kinetic modelling and parametric imaging of dynamic 18 F-FDG datasets from a long axial FOV PET scanner in oncological patients.

Hasan SariClemens MingelsIan AlbertsJicun HuDorothee BuesserVijay ShahRobin SchepersPatrik CaluoriVladimir PaninMaurizio ContiAli Afshar-OromiehKuangyu ShiLars ErikssonAxel RomingerPaul Cumming

Published in: European journal of nuclear medicine and molecular imaging (2022)

F-FDG images. Although parametric images did not reveal more tumors than SUV images, the results confirmed that parametric imaging furnishes improved tumor contrast. We thus demonstrate the feasibility of total-body kinetic modelling and parametric imaging in basic research and oncological studies. LAFOV PET can enhance dynamic imaging capabilities by providing high sensitivity parametric images and allowing total-body pharmacokinetic analysis.

Keyphrases

high resolution
deep learning
pet ct
convolutional neural network
positron emission tomography
pet imaging
optical coherence tomography
magnetic resonance
prostate cancer
ejection fraction
end stage renal disease
magnetic resonance imaging
genome wide
rna seq
patient reported