Authors: Jianhua Yan, Jun Yu
Addresses: Department of Electronic Science and Technology, Huazhong University of Science and Technology, Room 203, Building C1, 1037 Luoyu Road, Wuhan, China. ' Department of Electronic Science and Technology, Huazhong University of Science and Technology, Room 203, Building C1, 1037 Luoyu Road, Wuhan, China
Abstract: In this paper, the authors/researchers will introduce the incremental optimisation transfer framework to estimate emission means in positron emission tomography. The proposed algorithms accelerate convergence speeds and ensure global convergence (to a stationary point) under mild regularity conditions without inconvenient relaxation parameters. In experiments using synthetic data and real phantom data, it was found that, for a fixed level of background noise, the proposed idea in this paper provides high-quality reconstructed images.
Keywords: positron emission tomography; PET; incremental optimisation transfer; IOT; penalised likelihood estimate; emission image reconstruction; reconstructed images.
International Journal of Computational Science and Engineering, 2011 Vol.6 No.3, pp.146 - 150
Available online: 20 Aug 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article