Title: | Dark-field tomography of an attenuating object using intrinsic x-ray speckle tracking |
Contributor(s): | Alloo, Samantha J (author); Paganin, David M (author); Morgan, Kaye S (author); Kitchen, Marcus J (author); Stevenson, Andrew W (author); Mayo, Sheridan C (author); Li, Heyang T (author); Kennedy, Ben M (author); Maksimenko, Anton (author); Bowden, Joshua C (author); Pavlov, Konstantin M (author) |
Publication Date: | 2022-02-07 |
DOI: | 10.1117/1.JMI.9.3.031502 |
Handle Link: | https://hdl.handle.net/1959.11/57889 |
Abstract: | | Purpose: We investigate how an intrinsic speckle tracking approach to speckle-based x-ray imaging is used to extract an object’s effective dark-field (DF) signal, which is capable of providing object information in three dimensions.
Approach: The effective DF signal was extracted using a Fokker–Planck type formalism, which models the deformations of illuminating reference beam speckles due to both coherent and diffusive scatter from the sample. Here, we assumed that (a) small-angle scattering fans at the exit surface of the sample are rotationally symmetric and (b) the object has both attenuating and refractive properties. The associated inverse problem of extracting the effective DF signal was numerically stabilized using a “weighted determinants” approach.
Results: Effective DF projection images, as well as the DF tomographic reconstructions of the wood sample, are presented. DF tomography was performed using a filtered back projection reconstruction algorithm. The DF tomographic reconstructions of the wood sample provided complementary, and otherwise inaccessible, information to augment the phase contrast reconstructions, which were also computed.
Conclusions: An intrinsic speckle tracking approach to speckle-based imaging can tomographically reconstruct an object’s DF signal at a low sample exposure and with a simple experimental setup. The obtained DF reconstructions have an image quality comparable to alternative x-ray DF techniques.
Publication Type: | Journal Article |
Source of Publication: | Journal of Medical Imaging, v.9 (3) |
Publisher: | SPIE - International Society for Optical Engineering |
Place of Publication: | United States of America |
ISSN: | 2329-4310 2329-4302 |
Fields of Research (FoR) 2020: | 5105 Medical and biological physics |
Socio-Economic Objective (SEO) 2020: | TBD |
Peer Reviewed: | Yes |
HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
Appears in Collections: | Journal Article School of Science and Technology
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