title: Image resolution improvement based on sinogram super-resolution in PET.
abstract: One of the limits of PET imaging is the low spatial resolution due to a predetermined detector width. To overcome this limit, we may increase the number of samples by using the wobbling motion. Since the line spread function (LSF) of the sinogram is determined by the detector width, however, the increase of the number of samples is not sufficient to improve the sinogram resolution. In this paper, based on oversampled data obtained from the wobbling motion, we propose a novel and efficient super-resolution (SR) scheme for the sinogram. Since the proposed SR scheme adopts the penalized expectation maximization (EM) algorithm, it guarantees non-negative values of the super-resolved sinogram data. Through the experiments, we demonstrate that the proposed SR scheme can noticeably improve the spatial image resolution.
authors.affiliation: Department of Electrical Engineering, KAIST, 373-1, Guseong-dong, Yuseong-gu, Daejeon, 305-701, Korea. kyjeong@issserver.kaist.ac.kr
authors.forename: Kye Young
authors.initials: KY
authors.lastname: Jeong
authors.forename: Kyuha
authors.initials: K
authors.lastname: Choi
authors.forename: Woo Hyun
authors.initials: WH
authors.lastname: Nam
authors.forename: Ji Hye
authors.initials: JH
authors.lastname: Kim
authors.forename: Jong Beom
authors.initials: JB
authors.lastname: Ra
mesh_terms: D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D009038:Motion; D019047:Phantoms, Imaging; D049268:Positron-Emission Tomography / Q000295:instrumentation* / Q000379:methods*