|Title||Coding and sampling for compressive x-ray diffraction tomography|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||JA Greenberg, K Krishnamurthy, M Lakshmanan, K MacCabe, S Wolter, A Kapadia, and D Brady|
|Journal||Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics|
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.
|Short Title||Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics|