Work

Image reconstruction for view-limited x-ray CT in baggage scanning

Year: 2017

Type: conference-paper

Abstract: X-ray CT based baggage scanners are widely used in security applications. Recently, there has been increased interest in view-limited systems which can improve the scanning throughput while maintaining the threat detection performance. However as very few view angles are acquired in these systems, the image reconstruction problem is challenging. Standard reconstruction algorithms such as the filtered backprojection create strong artifacts when working with view-limited data. In this work, we study the performance of a variety of reconstruction algorithms for both single and multi-energy view-limited systems.

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.2265491

Authors: Sagar Mandava, David Coccarelli, Joel A. Greenberg, Michael E. Gehm, Amit Ashok, Ali Bilgin

Institutions: University of Arizona, Duke University

Language: English

Topic: Advanced X-ray and CT Imaging

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: U.S. Department of Homeland Security, University of Arizona

Award: G158215544