Blind Deconvolution of PET Images using Anatomical Priors

Autor:	Guérit, Stéphanie, González, Adriana, Bol, Anne, Lee, John A., Jacques, Laurent
Rok vydání:	2016
Předmět:	Computer Science - Computer Vision and Pattern Recognition Mathematics - Optimization and Control
Druh dokumentu:	Working Paper
Popis:	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. Comment: iTWIST2016, August 24-26, Aalborg, Denmark
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1608.01896 Zobrazit plný text záznamu View this record from Arxiv