Partial volume effect correction in PET image using iterative deconvolution and shearlet transform

Abstract

The partial volume effect (PVE) is a degradation affected the positron emission tomography (PET) images. This limitation is due to the tissue fraction effect and the limited spatial resolution of the PET image. Here, we present a new correction method based on iterative deconvolution and shearlet transform. The purpose of this findig is to overcome the amplification of noise caused by the Lucy-Richardson deconvolution algorithm (LRD). A regularization step based on a shearlet transform was used in order to reduce the noise level generated by LRD. The method provided good SNR improvements and achieved a notable intensity recovery.