A sequential regularization based image reconstruction method for limited-angle spectral CT. (30th November 2020)

• Record Type: Journal Article
• Authors: Sheng, Wenjuan; Zhao, Xing; Li, Mengfei
• Is Part Of: Physics in medicine & biology. Volume 65:Number 23(2020:Dec.)
• Publication Date: 2020-11-30
• Subjects: spectral CT -- limited-angle imaging -- optimization-based reconstruction -- sequential regularization; Biophysics -- Periodicals; Medical physics -- Periodicals; 610.153
• DOI: 10.1088/1361-6560/ab9771
• Languages: English
• ISSNs: 0031-9155

Abstract

Abstract: In spectral computed tomography (CT), the object is respectively scanned under different x-ray spectra. Multiple projection data can be collectively used for reconstructing basis images and virtual monochromatic images, which have been used in material decomposition, beam-hardening correction, bone removal, and so on. In practice, projection data may be obtained in a limited scanning angular range. Images reconstructed from limited-angle data by conventional spectral CT reconstruction methods will be deteriorated by limited-angle related artifacts and basis image decomposition errors. Motivated by observations of limited-angle spectral CT, we propose a sequential regularization-based limited-angle spectral CT reconstruction model and its numerical solver. Both simulated and real data experiments validate that our method is capable of suppressing artifacts, preserving edges and reducing decomposition errors.