부산대학교 도서관

This paper presents preliminary results of a novel method that takes advantage of artificial evolution for positron emission tomography (PET) reconstruction. Fully 3D tomo-graphic reconstruction in PET requires high computing power and leads to many challenges. To date, the use of such methods is still restricted due to the heavy computing power needed. Evolutionary algorithms have proven to be efficient optimisation techniques in various domains. However the use of evolutionary computation in tomographic reconstruction has been largely overlooked. We propose a computer-based algorithm for fully 3D reconstruction in PET based on artificial evolution and evaluate its relevance.