Model-based reconstruction for x-ray diffraction imaging

Venkatesh Sridhar; Sherman J. Kisner; Sondre Skatter; Charles A. Bouman

doi:10.1117/12.2223134

12 May 2016 Model-based reconstruction for x-ray diffraction imaging

Venkatesh Sridhar, Sherman J. Kisner, Sondre Skatter, Charles A. Bouman

Author Affiliations +

Proceedings Volume 9847, Anomaly Detection and Imaging with X-Rays (ADIX); 98470K (2016) https://doi.org/10.1117/12.2223134
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Venkatesh Sridhar, Sherman J. Kisner, Sondre Skatter, and Charles A. Bouman "Model-based reconstruction for x-ray diffraction imaging", Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470K (12 May 2016); https://doi.org/10.1117/12.2223134

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