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.
Sagar Mandava, David Coccarelli, Joel A. Greenberg, Michael E. Gehm, Amit Ashok, and 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 (Presented at SPIE Defense + Security: April 12, 2017; Published: 1 May 2017); https://doi.org/10.1117/12.2265491.
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