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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/626008 |
| Date | 01 May 2017 |
| Creators | Mandava, Sagar, Coccarelli, David, Greenberg, Joel A., Gehm, Michael E., Ashok, Amit, Bilgin, Ali |
| Contributors | Univ Arizona, Dept Elect & Comp Engn, Univ Arizona, Coll Opt Sci, The Univ. of Arizona (United States), Duke Univ. (United States), Duke Univ. (United States), Duke Univ. (United States), College of Optical Sciences, The Univ. of Arizona (United States), The Univ. of Arizona (United States) |
| Publisher | SPIE-INT SOC OPTICAL ENGINEERING |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Article |
| Rights | © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). |
| Relation | http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2265491 |
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