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Proceedings Paper

Model-based reconstruction for x-ray diffraction imaging
Author(s): Venkatesh Sridhar; Sherman J. Kisner; Sondre Skatter; Charles A. Bouman
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Paper Abstract

In this paper, we propose a novel 4D model-based iterative reconstruction (MBIR) algorithm for low-angle scatter X-ray Diffraction (XRD) that can substantially increase the SNR. Our forward model is based on a Poisson photon counting model that incorporates a spatial point-spread function, detector energy response and energy-dependent attenuation correction. Our prior model uses a Markov random field (MRF) together with a reduced spectral bases set determined using non-negative matrix factorization. We demonstrate the effectiveness of our method with real data sets.

Paper Details

Date Published: 12 May 2016
PDF: 11 pages
Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470K (12 May 2016); doi: 10.1117/12.2223134
Show Author Affiliations
Venkatesh Sridhar, Purdue Univ. (United States)
Sherman J. Kisner, Purdue Univ. (United States)
Sondre Skatter, Morpho Detection, Inc. (United States)
Charles A. Bouman, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 9847:
Anomaly Detection and Imaging with X-Rays (ADIX)
Amit Ashok; Mark A. Neifeld; Michael E. Gehm, Editor(s)

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