Automatic classification of lymphoma lesions in FDG-PET-Differentiation between tumor and non-tumor uptake.

Introduction: The automatic classification of lymphoma lesions in PET is a main topic of ongoing research. An automatic algorithm would enable the swift evaluation of PET parameters, like texture and heterogeneity markers, concerning their prognostic value for patients outcome in large datasets. Moreover, the determination of the metabolic tumor volume would be facilitated.