Dual-Energy Phase-Contrast Computed Tomography to Improve Material Discrimination

Kadri Aditya Mohan | 22-ERD-011

Executive Summary

We will develop a new mode of three-dimensional imaging called dual-energy x-ray phase-contrast computed tomography that will enable high-contrast, quantitatively-accurate characterization of low x-ray absorption contrast materials, which are currently difficult to measure. This new imaging capability will use in-house, lab-based x-ray sources to enable advanced, in-situ characterization in support of national security missions.

Publications, Presentations, and Patents

T. F. Lakshmanan, K. M. Champley, and K. A. Mohan. “Weighted Minimum Norm Algorithm for Improved Phase Unwrapping.” Electronic Imaging, 34, 1-6. San Francisco, CA. Jan. 2022. LLNL-CONF-831311

W. Li et al., “X-Ray Spectral Estimation Using Dictionary Learning.” 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 890-894, doi: 10.1109/ICIP49359.2023.10222846.

PhaseTorch, v0.1.1 (Algorithms for Forward and Inverse Problem Solutions in Phase Contrast Tomography), Copyright CP02590, 5/17/2022

Li Wenrui, “CT scanner X-Ray spectrum estimation using dictionary learning” (Presentation, Center for Advanced Signal and Image Sciences (CASIS) 26th Annual Workshop, Livermore, CA, Sept 2022).

Li Wenrui, “X-ray Spectral Estimation using Dictionary Learning" (Presentation, Center for Advanced Signal and Image Sciences (CASIS) 27th Annual Workshop, 2023).

T. F. Lakshmanan, “Polychromatic Phase Retrieval for Homogeneous Objects” (Presentation, Center for Advanced Signal and Image Sciences (CASIS) 26th Annual Workshop, Livermore, CA, Sept 2022).