Coding and sampling for compressive x-ray diffraction tomography

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Greenberg, JA; Krishnamurthy, K; Lakshmanan, M; MacCabe, K; Wolter, S; Kapadia, A; Brady, D

Published Date

  • December 9, 2013

Published In

Volume / Issue

  • 8858 /

Electronic International Standard Serial Number (EISSN)

  • 1996-756X

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.2027128

Citation Source

  • Scopus