3D x-ray diffraction imaging at application-relevant speeds (Conference Presentation)

Joel A. Greenberg

doi:10.1117/12.2666144

15 June 2023 3D x-ray diffraction imaging at application-relevant speeds (Conference Presentation)

Joel A. Greenberg

Proceedings Volume PC12523, Computational Imaging VII ; PC1252307 (2023) https://doi.org/10.1117/12.2666144
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Many tasks in security, medical imaging, materials science, and non-destructive testing require spatially-resolved material identification and/or quantification. X-ray diffraction imaging can accomplish this task, but it has typically been slow or of too course resolution to adequately address the real world need. In this talk, I discuss our computational approach to X-ray diffraction imaging that allows for 2D and 3D X-ray diffraction imaging at speeds relevant to the task at hand. Through a combination of physical coding, model-based reconstruction, inclusion of side-information, and machine learning-based processing, we demonstrate the ability to evaluate the contents of baggage and parcels in seconds as well as perform high resolution material identification of biological samples on the order of a few minutes using conventional, off-the-shelf components.

Conference Presentation

Citation Download Citation

Joel A. Greenberg "3D x-ray diffraction imaging at application-relevant speeds (Conference Presentation)", Proc. SPIE PC12523, Computational Imaging VII , PC1252307 (15 June 2023); https://doi.org/10.1117/12.2666144

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