SART-type image reconstruction from overlapped projections

Authors:
Hengyong Yu;Changguo Ji;Ge Wang
Affiliations:
Department of Radiology, Wake Forest Univ. Health Sciences, Winston-Salem, NC and VT-WFU School of Biomedical Eng. and Sciences, Wake Forest Univ. Health Sciences, Winston-Salem, NC and VT-WFU Sch ...;VT-WFU School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA;VT-WFU School of Biomedical Engineering and Sciences, Wake Forest University Health Sciences, Winston-Salem, NC and VT-WFU School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, ...
Venue:
Journal of Biomedical Imaging - Special issue on modern mathematics in biomedical imaging
Year:
2011

Citing 5
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Abstract

To maximize the time-integrated X-ray flux from multiple X-ray sources and shorten the data acquisition process, a promising way is to allow overlapped projections from multiple sources being simultaneously on without involving the source multiplexing technology. The most challenging task in this configuration is to perform image reconstruction effectively and efficiently from overlapped projections. Inspired by the single-source simultaneous algebraic reconstruction technique (SART), we hereby develop a multisource SART-type reconstruction algorithm regularized by a sparsity-oriented constraint in the soft-threshold filtering framework to reconstruct images from overlapped projections. Our numerical simulation results verify the correctness of the proposed algorithm and demonstrate the advantage of image reconstruction from overlapped projections.