The Initial Evaluation of An SRM-Based PET Normalization Method

Abstract

The PET system response homogeneity is closely related to the manufacturing accuracy and the SRM modeling consistency. The physical modeling errors such as the crystal septa efficiency deviation and the mechanical error always lead to response heterogeneity. We have proposed an improved CBN algorithm for 3D PET normalization, which is named the SRM based component eliminated normalization (SCEN) method. The overall idea of this work is to eliminate the image artifact caused by system modeling error and reduce the interference effects between different components. We investigated the SCEN method based on the DigitMI 910 all-digital PET/CT scanner with phantom data preliminarily. The results show that the background variability is reduced by 21.0%~24.8% using the SCEN method.