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Proceedings Paper

A regularized iterative reconstruction algorithm for x-ray diffraction tomography
Author(s): Ke Chen; David A. Castañón
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Paper Abstract

Material discrimination based on conventional or dual energy X-ray computed tomography (CT) imaging can be ambiguous. X-ray diraction imaging (XDI) can be used to construct diraction proles of objects, providing molecular signature information that can be used to characterize the presence of specic materials. Combining X-ray CT and diraction imaging can lead to enhanced detection and identication of explosives in luggage screening. Current XDI scan systems are based on direct imaging rather than tomographic imaging, which require the use of line collimators to localize scattering location and thus result in slow scan performance. In an eort to gain faster scan times and better signal-to-noise ratio, we focus on tomographic inversion techniques for X-ray Diraction Tomography (XDT) and look for joint reconstruction of CT absorption and X-ray diraction prole images of object. We present a fast reconstruction algorithm with geometric feature preserving regularization (IREP) using image-wise based iterative coordinate descent (ICD).We validate the initial results via Monte Carlo simulation of X-ray absorption and coherent scattering in 2 dimensions (2D), and compare the performance of the IREP algorithm with existing inversion techniques such as the ltered backprojection method and the algebraic reconstruction technique. The experimental results show that the IREP method oers improved image quality for enhanced material identication.

Paper Details

Date Published: 18 May 2012
PDF: 11 pages
Proc. SPIE 8374, Next-Generation Spectroscopic Technologies V, 83740D (18 May 2012); doi: 10.1117/12.919289
Show Author Affiliations
Ke Chen, Boston Univ. (United States)
David A. Castañón, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 8374:
Next-Generation Spectroscopic Technologies V
Mark A. Druy; Richard A. Crocombe, Editor(s)

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