Tomographic Reconstruction of the Small-Angle X-Ray Scattering Tensor with Filtered Back Projection
(2022) In Physical Review Applied 18(1).- Abstract
Small-angle x-ray scattering tensor tomography provides three-dimensional information on the unresolved material anisotropic microarchitecture, which can be hundreds of times smaller than an image pixel. We develop a direct filtered back-projection method based on algebraic filters that enables rapid tensor-tomographic reconstructions and is a few orders of magnitude faster compared to established techniques, given the same computational resources. We demonstrate the accuracy of the method on experimental data for a fiber-reinforced material sample. The achieved acceleration may pave the way toward the investigation of multiple large samples as well as rapid control and feedback during in situ tensor-tomographic experiments, opening... (More)
Small-angle x-ray scattering tensor tomography provides three-dimensional information on the unresolved material anisotropic microarchitecture, which can be hundreds of times smaller than an image pixel. We develop a direct filtered back-projection method based on algebraic filters that enables rapid tensor-tomographic reconstructions and is a few orders of magnitude faster compared to established techniques, given the same computational resources. We demonstrate the accuracy of the method on experimental data for a fiber-reinforced material sample. The achieved acceleration may pave the way toward the investigation of multiple large samples as well as rapid control and feedback during in situ tensor-tomographic experiments, opening perspectives for the understanding of the fundamental link between functional material properties and microarchitecture.
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- author
- Kim, Jisoo ; Pelt, Daniël M. ; Kagias, Matias LU ; Stampanoni, Marco ; Batenburg, K. Joost and Marone, Federica
- publishing date
- 2022-07
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Physical Review Applied
- volume
- 18
- issue
- 1
- article number
- 014043
- publisher
- American Physical Society
- external identifiers
-
- scopus:85135748205
- ISSN
- 2331-7019
- DOI
- 10.1103/PhysRevApplied.18.014043
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2022 American Physical Society.
- id
- 8ce95e69-126c-400e-8b4f-503a81a81231
- date added to LUP
- 2023-11-27 08:55:20
- date last changed
- 2023-12-04 11:54:02
@article{8ce95e69-126c-400e-8b4f-503a81a81231,
abstract = {{<p>Small-angle x-ray scattering tensor tomography provides three-dimensional information on the unresolved material anisotropic microarchitecture, which can be hundreds of times smaller than an image pixel. We develop a direct filtered back-projection method based on algebraic filters that enables rapid tensor-tomographic reconstructions and is a few orders of magnitude faster compared to established techniques, given the same computational resources. We demonstrate the accuracy of the method on experimental data for a fiber-reinforced material sample. The achieved acceleration may pave the way toward the investigation of multiple large samples as well as rapid control and feedback during in situ tensor-tomographic experiments, opening perspectives for the understanding of the fundamental link between functional material properties and microarchitecture.</p>}},
author = {{Kim, Jisoo and Pelt, Daniël M. and Kagias, Matias and Stampanoni, Marco and Batenburg, K. Joost and Marone, Federica}},
issn = {{2331-7019}},
language = {{eng}},
number = {{1}},
publisher = {{American Physical Society}},
series = {{Physical Review Applied}},
title = {{Tomographic Reconstruction of the Small-Angle X-Ray Scattering Tensor with Filtered Back Projection}},
url = {{http://dx.doi.org/10.1103/PhysRevApplied.18.014043}},
doi = {{10.1103/PhysRevApplied.18.014043}},
volume = {{18}},
year = {{2022}},
}