Computational resolution enhancement for mesh-based x-ray phase imaging

Congxiao He; Danielle Hayden; Carolyn A. MacDonald; Jonathan C. Petruccelli

doi:10.1117/12.2305097

14 May 2018 Computational resolution enhancement for mesh-based x-ray phase imaging

Congxiao He, Danielle Hayden, Carolyn A. MacDonald, Jonathan C. Petruccelli

Proceedings Volume 10669, Computational Imaging III; 106690Q (2018) https://doi.org/10.1117/12.2305097
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

X ray phase imaging can offer significantly improved image contrast between materials of similar atomic number compared to traditional imaging, although it typically requires small, low power sources to generate the required spatial coherence. We have demonstrated the use of a simple wire mesh and Fourier transform techniques to overcome this limitation, essentially by observing shifts in the mesh. However, the resolution of that technique is limited by the mesh period. Here we demonstrate greatly improved spatial resolution by the application of wider windowing and appropriate combinations of Fourier components from multiple images acquired while spatially shifting the grid.

Conference Presentation

Citation Download Citation

Congxiao He, Danielle Hayden, Carolyn A. MacDonald, and Jonathan C. Petruccelli "Computational resolution enhancement for mesh-based x-ray phase imaging", Proc. SPIE 10669, Computational Imaging III, 106690Q (14 May 2018); https://doi.org/10.1117/12.2305097

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