Image reconstruction for view-limited x-ray CT in baggage scanning
Affiliation
Univ Arizona, Dept Elect & Comp EngnUniv Arizona, Coll Opt Sci
Issue Date
2017-05-01
Metadata
Show full item recordPublisher
SPIE-INT SOC OPTICAL ENGINEERINGCitation
Sagar Mandava, David Coccarelli, Joel A. Greenberg, Michael E. Gehm, Amit Ashok, Ali Bilgin, "Image reconstruction for view-limited x-ray CT in baggage scanning", Proc. SPIE 10187, Anomaly Detection and Imaging with X-Rays (ADIX) II, 101870F (1 May 2017); doi: 10.1117/12.2265491; http://dx.doi.org/10.1117/12.2265491Rights
© 2017 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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.ISSN
0277-786XVersion
Final published versionSponsors
U.S. Department of Homeland Security (Department of Homeland Security) [HSHQDC-14-C-BOOIO]; University of Arizona Technology Research Initiative Fund (TRIF) fellowshipae974a485f413a2113503eed53cd6c53
10.1117/12.2265491
