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Non-iterative Directional Dark-field Tomography

Schaff, Florian; Prade, Friedrich; Sharma, Yash; Bech, Martin LU and Pfeiffer, Franz (2017) In Scientific Reports 7(1).
Abstract

Dark-field imaging is a scattering-based X-ray imaging method that can be performed with laboratory X-ray tubes. The possibility to obtain information about unresolvable structures has already seen a lot of interest for both medical and material science applications. Unlike conventional X-ray attenuation, orientation dependent changes of the dark-field signal can be used to reveal microscopic structural orientation. To date, reconstruction of the three-dimensional dark-field signal requires dedicated, highly complex algorithms and specialized acquisition hardware. This severely hinders the possible application of orientation-dependent dark-field tomography. In this paper, we show that it is possible to perform this kind of dark-field... (More)

Dark-field imaging is a scattering-based X-ray imaging method that can be performed with laboratory X-ray tubes. The possibility to obtain information about unresolvable structures has already seen a lot of interest for both medical and material science applications. Unlike conventional X-ray attenuation, orientation dependent changes of the dark-field signal can be used to reveal microscopic structural orientation. To date, reconstruction of the three-dimensional dark-field signal requires dedicated, highly complex algorithms and specialized acquisition hardware. This severely hinders the possible application of orientation-dependent dark-field tomography. In this paper, we show that it is possible to perform this kind of dark-field tomography with common Talbot-Lau interferometer setups by reducing the reconstruction to several smaller independent problems. This allows for the reconstruction to be performed with commercially available software and our findings will therefore help pave the way for a straightforward implementation of orientation-dependent dark-field tomography.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
7
issue
1
publisher
Nature Publishing Group
external identifiers
  • scopus:85020757792
  • wos:000403081900098
ISSN
2045-2322
DOI
10.1038/s41598-017-03307-6
language
English
LU publication?
yes
id
d814ed87-c1fb-4247-9bd0-633e25385c62
date added to LUP
2017-07-03 14:45:08
date last changed
2017-09-18 11:37:16
@article{d814ed87-c1fb-4247-9bd0-633e25385c62,
  abstract     = {<p>Dark-field imaging is a scattering-based X-ray imaging method that can be performed with laboratory X-ray tubes. The possibility to obtain information about unresolvable structures has already seen a lot of interest for both medical and material science applications. Unlike conventional X-ray attenuation, orientation dependent changes of the dark-field signal can be used to reveal microscopic structural orientation. To date, reconstruction of the three-dimensional dark-field signal requires dedicated, highly complex algorithms and specialized acquisition hardware. This severely hinders the possible application of orientation-dependent dark-field tomography. In this paper, we show that it is possible to perform this kind of dark-field tomography with common Talbot-Lau interferometer setups by reducing the reconstruction to several smaller independent problems. This allows for the reconstruction to be performed with commercially available software and our findings will therefore help pave the way for a straightforward implementation of orientation-dependent dark-field tomography.</p>},
  articleno    = {3307},
  author       = {Schaff, Florian and Prade, Friedrich and Sharma, Yash and Bech, Martin and Pfeiffer, Franz},
  issn         = {2045-2322},
  language     = {eng},
  month        = {12},
  number       = {1},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Reports},
  title        = {Non-iterative Directional Dark-field Tomography},
  url          = {http://dx.doi.org/10.1038/s41598-017-03307-6},
  volume       = {7},
  year         = {2017},
}