Improving material identification by combining x-ray and neutron tomography

Jacob M. LaManna; Daniel S. Hussey; Eli Baltic; David L. Jacobson

doi:10.1117/12.2274443

25 September 2017 Improving material identification by combining x-ray and neutron tomography

Jacob M. LaManna, Daniel S. Hussey, Eli Baltic, David L. Jacobson

Proceedings Volume 10391, Developments in X-Ray Tomography XI; 1039104 (2017) https://doi.org/10.1117/12.2274443
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

X-rays and neutrons provide complementary non-destructive probes for the analysis of structure and chemical composition of materials. Contrast differences between the modes arise due to the differences in interaction with matter. Due to the high sensitivity to hydrogen, neutrons excel at separating liquid water or hydrogenous phases from the underlying structure while X-rays resolve the solid structure. Many samples of interest, such as fluid flow in porous materials or curing concrete, are stochastic or slowly changing with time which makes analysis of sequential imaging with X-rays and neutrons difficult as the sample may change between scans. To alleviate this issue, NIST has developed a system for simultaneous X-ray and neutron tomography by orienting a 90 keVpeak micro-focus X-ray tube orthogonally to a thermal neutron beam. This system allows for non-destructive, multimodal tomography of dynamic or stochastic samples while penetrating through sample environment equipment such as pressure and flow vessels. Current efforts are underway to develop methods for 2D histogram based segmentation of reconstructed volumes. By leveraging the contrast differences between X-rays and neutrons, greater histogram peak separation can occur in 2D vs 1D enabling improved material identification.

Conference Presentation

Citation Download Citation

Jacob M. LaManna, Daniel S. Hussey, Eli Baltic, and David L. Jacobson "Improving material identification by combining x-ray and neutron tomography", Proc. SPIE 10391, Developments in X-Ray Tomography XI, 1039104 (25 September 2017); https://doi.org/10.1117/12.2274443

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