Minimising the Storgae Space for Dynamic Images In Positron Emission Tomography

Abstract

Tracer kinetic modeling with positron emission tomography (PET) plays an important role in quantifying physiological processes in living systems. However, a huge amount of storage space is usually involved in studies to keep the tracer time activity images. In this paper, we present an approach based on optimal sampling schedule design to minimise the storage space. A practical example is used to illustrate this technique. The results show that the number of dynamic images required can be reduced by approximately 80% and the data processing time can be saved as well.