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

Sagar Mandava; David Coccarelli; Joel A. Greenberg; Michael E. Gehm; Amit Ashok; Ali Bilgin

doi:10.1117/12.2265491

1 May 2017 Image reconstruction for view-limited x-ray CT in baggage scanning

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

Proceedings Volume 10187, Anomaly Detection and Imaging with X-Rays (ADIX) II; 101870F (2017) https://doi.org/10.1117/12.2265491
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

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.

Conference Presentation

Citation Download Citation

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 (1 May 2017); https://doi.org/10.1117/12.2265491

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