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Proceedings Paper

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

Paper Details

Date Published: 1 May 2017
PDF: 9 pages
Proc. SPIE 10187, Anomaly Detection and Imaging with X-Rays (ADIX) II, 101870F (1 May 2017); doi: 10.1117/12.2265491
Show Author Affiliations
Sagar Mandava, The Univ. of Arizona (United States)
David Coccarelli, Duke Univ. (United States)
Joel A. Greenberg, Duke Univ. (United States)
Michael E. Gehm, Duke Univ. (United States)
Amit Ashok, College of Optical Sciences, The Univ. of Arizona (United States)
Ali Bilgin, The Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 10187:
Anomaly Detection and Imaging with X-Rays (ADIX) II
Amit Ashok; Edward D. Franco; Michael E. Gehm; Mark A. Neifeld, Editor(s)

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