Publications [#280258] of David J. Brady
- Greenberg, JA; Krishnamurthy, K; Lakshmanan, M; MacCabe, K; Wolter, S; Kapadia, A; Brady, D, Coding and sampling for compressive x-ray diffraction tomography,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 8858
(December, 2013), SPIE, ISSN 0277-786X [doi]
(last updated on 2019/11/11)
Coded apertures and energy resolving detectors may be used to improve the sampling efficiency of x-ray tomography and increase the physical diversity of x-ray phenomena measured. Coding and decompressive inference enable increased molecular specificity, reduced exposure and scan times. We outline a specific coded aperture x-ray coherent scatter imaging architecture that demonstrates the potential of such schemes. Based on this geometry, we develop a physical model using both a semi-analytic and Monte Carlo-based framework, devise an experimental realization of the system, describe a reconstruction algorithm for estimating the object from raw data, and propose a classification scheme for identifying the material composition of the object at each location. © 2013 SPIE.