Image reconstruction for view-limited x-ray CT in baggage scanning
AffiliationUniv Arizona, Dept Elect & Comp Engn
Univ Arizona, Coll Opt Sci
MetadataShow full item record
PublisherSPIE-INT SOC OPTICAL ENGINEERING
CitationSagar 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/10.1117/12.2265491
Rights© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
Collection InformationThis 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 firstname.lastname@example.org.
AbstractX-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.
VersionFinal published version
SponsorsU.S. Department of Homeland Security (Department of Homeland Security) [HSHQDC-14-C-BOOIO]; University of Arizona Technology Research Initiative Fund (TRIF) fellowship