Superiorization-based multi-energy CT image reconstruction. (1st March 2017)

• Record Type: Journal Article
• Authors: Yang, Q; Cong, W; Wang, G
• Is Part Of: Inverse problems. Volume 33:Number 4(2017:Apr.)
• Publication Date: 2017-03-01
• Subjects: x-ray spectral CT -- image reconstruction -- prior rank -- intensity and sparsity model (PRISM) -- superiorization -- Split-Bregman; Inverse problems (Differential equations) -- Periodicals; 515.357
• DOI: 10.1088/1361-6420/aa5e0a
• Languages: English
• ISSNs: 0266-5611

Abstract

Abstract: The recently-developed superiorization approach is efficient and robust for solving various constrained optimization problems. This methodology can be applied to multi-energy CT image reconstruction with the regularization in terms of the prior rank, intensity and sparsity model (PRISM). In this paper, we propose a superiorized version of the simultaneous algebraic reconstruction technique (SART) based on the PRISM model. Then, we compare the proposed superiorized algorithm with the Split-Bregman algorithm in numerical experiments. The results show that both the Superiorized-SART and the Split-Bregman algorithms generate good results with weak noise and reduced artefacts.