Model-based reconstruction for enhanced x-ray CT of dense tri-structural isotropic particles

Venkatakrishnan, Singanallur; Ziabari, Amir; Bingham, Philip; Helmreich, Grant

doi:10.1364/AO.439579

Model-based reconstruction for enhanced x-ray CT of dense tri-structural isotropic particles

Conference · Mon Jan 31 23:00:00 EST 2022

DOI:https://doi.org/10.1364/AO.439579· OSTI ID:1885390

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ORNL

Tri-structural isotropic (TRISO) fuel particles are a key component of next generation nuclear fuels. Using x-ray computed tomography (CT) to characterize TRISO particles is challenging because of the strong attenuation of the x-ray beam by the uranium core, leading to severe photon starvation in a substantial fraction of the measurements. Furthermore, the overall acquisition time for a high-resolution CT scan can be very long when using conventional laboratory-based x-ray systems and reconstruction algorithms. Specifically, when analytic methods such as the Feldkamp–Davis–Kress (FDK) algorithm are used for reconstruction, it results in severe streak artifacts and noise in the corresponding 3D volume, which makes subsequent analysis of the particles challenging. In this paper, we develop and apply model-based image reconstruction (MBIR) algorithms to improve the quality of CT reconstructions for TRISO particles to facilitate better characterization. We demonstrate that the proposed MBIR algorithms can significantly suppress artifacts with minimal pre-processing compared to conventional approaches. We also demonstrate that the proposed MBIR approach can obtain high-quality reconstruction compared to the FDK approach even when using a fraction of the typically acquired measurements, thereby enabling dramatically faster measurement times for TRISO particles.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1885390

Country of Publication:: United States

Language:: English

References (20)

Model-based iterative reconstruction for synchrotron X-ray tomography Mohan, K. Aditya; Venkatakrishnan, S. V.; Drummy, Lawrence F. ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) https://doi.org/10.1109/ICASSP.2014.6854939	conference	May 2014
Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators Bleichrodt, Folkert; van Leeuwen, Tristan; Palenstijn, Willem Jan Numerical Algorithms, Vol. 71, Issue 3 https://doi.org/10.1007/s11075-015-0016-4	journal	August 2015
Ring artifact reduction in synchrotron x-ray tomography through helical acquisition Pelt, Daniël M.; Parkinson, Dilworth Y. Measurement Science and Technology, Vol. 29, Issue 3 https://doi.org/10.1088/1361-6501/aa9dd9	journal	February 2018
An optimized first-order method for image restoration Kim, Donghwan; Fessler, Jeffrey A. 2015 IEEE International Conference on Image Processing (ICIP) https://doi.org/10.1109/ICIP.2015.7351490	conference	September 2015
Method for measurement of TRISO kernel and layer volumes by X-ray computed tomography Helmreich, Grant W.; Richardson, Dylan; Venkatakrishnan, Singanallur Journal of Nuclear Materials, Vol. 539 https://doi.org/10.1016/j.jnucmat.2020.152255	journal	October 2020
Bayesian estimation of transmission tomograms using segmentation based optimization Sauer, K.; Bouman, C. IEEE Transactions on Nuclear Science, Vol. 39, Issue 4 https://doi.org/10.1109/23.159774	journal	January 1992
A local update strategy for iterative reconstruction from projections Sauer, K.; Bouman, C. IEEE Transactions on Signal Processing, Vol. 41, Issue 2 https://doi.org/10.1109/78.193196	journal	January 1993
Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists Katsura, Masaki; Sato, Jiro; Akahane, Masaaki RadioGraphics, Vol. 38, Issue 2 https://doi.org/10.1148/rg.2018170102	journal	March 2018
The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography van Aarle, Wim; Palenstijn, Willem Jan; De Beenhouwer, Jan Ultramicroscopy, Vol. 157 https://doi.org/10.1016/j.ultramic.2015.05.002	journal	October 2015
A three-dimensional statistical approach to improved image quality for multislice helical CT: Improved statistical reconstruction for multislice helical CT Thibault, Jean-Baptiste; Sauer, Ken D.; Bouman, Charles A. Medical Physics, Vol. 34, Issue 11 https://doi.org/10.1118/1.2789499	journal	October 2007
Characterization of PyC/SiC Interfaces with FIB-SEM Tomography Arregui-Mena, José David; Seibert, Rachel L.; Gerczak, Tyler J. Journal of Nuclear Materials, Vol. 545 https://doi.org/10.1016/j.jnucmat.2020.152736	journal	March 2021
Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization Yu, Zhou; Thibault, Jean-Baptiste; Bouman, Charles A. IEEE Transactions on Image Processing, Vol. 20, Issue 1 https://doi.org/10.1109/TIP.2010.2058811	journal	January 2011
Statistical image reconstruction for polyenergetic X-ray computed tomography Elbakri, I. A.; Fessler, J. A. IEEE Transactions on Medical Imaging, Vol. 21, Issue 2 https://doi.org/10.1109/42.993128	journal	January 2002
Modeling and Pre-Treatment of Photon-Starved CT Data for Iterative Reconstruction Chang, Zhiqian; Zhang, Ruoqiao; Thibault, Jean-Baptiste IEEE Transactions on Medical Imaging, Vol. 36, Issue 1 https://doi.org/10.1109/TMI.2016.2606338	journal	January 2017
Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs) Palenstijn, W. J.; Batenburg, K. J.; Sijbers, J. Journal of Structural Biology, Vol. 176, Issue 2 https://doi.org/10.1016/j.jsb.2011.07.017	journal	November 2011
Practical cone-beam algorithm Feldkamp, L. A.; Davis, L. C.; Kress, J. W. Journal of the Optical Society of America A, Vol. 1, Issue 6 https://doi.org/10.1364/JOSAA.1.000612	journal	January 1984
Fast and flexible X-ray tomography using the ASTRA toolbox van Aarle, Wim; Palenstijn, Willem Jan; Cant, Jeroen Optics Express, Vol. 24, Issue 22 https://doi.org/10.1364/OE.24.025129	journal	January 2016
A Model Based Iterative Reconstruction Algorithm For High Angle Annular Dark Field-Scanning Transmission Electron Microscope (HAADF-STEM) Tomography Venkatakrishnan, S. V.; Drummy, L. F.; Jackson, M. A. IEEE Transactions on Image Processing, Vol. 22, Issue 11 https://doi.org/10.1109/TIP.2013.2277784	journal	November 2013
Innovative data weighting for iterative reconstruction in a helical CT security baggage scanner Kisner, Sherman J.; Jin, Pengchong; Bouman, Charles A. 2013 47th International Carnahan Conference on Security Technology (ICCST) https://doi.org/10.1109/CCST.2013.6922068	conference	October 2013
Microstructural analysis of TRISO particles using multi-scale X-ray computed tomography Lowe, T.; Bradley, R. S.; Yue, S. Journal of Nuclear Materials, Vol. 461 https://doi.org/10.1016/j.jnucmat.2015.02.034	journal	June 2015

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