Images from positron emission tomography (PET) provide metabolic information about the human body. They present, however, a spatial resolution that is limited by physical and instrumental factors often modeled by a blurring function. Since this function is typically unknown, blind deconvolution (BD) techniques are needed in order to produce a useful restored PET image. In this work, we propose a general BD technique that restores a low resolution blurry image using information from data acquired with a high resolution modality (e.g., CT-based delineation of regions with uniform activity in PET images). The proposed BD method is validated on synthetic and actual phantoms.
@article{arxiv.1608.01896,
title = {Blind Deconvolution of PET Images using Anatomical Priors},
author = {Stéphanie Guérit and Adriana González and Anne Bol and John A. Lee and Laurent Jacques},
journal= {arXiv preprint arXiv:1608.01896},
year = {2016}
}