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Detection of sub-pixel fractures in X-ray dark-field tomography

Lauridsen, Torsten ; Willner, Marian ; Bech, Martin LU orcid ; Pfeiffer, Franz and Feidenhans'l, Robert (2015) In Applied Physics A: Materials Science & Processing 121(3). p.1243-1250
Abstract
We present a new method for detecting fractures in solid materials below the resolution given by the detector pixel size by using grating-based X-ray interferometry. The technique is particularly useful for detecting sub-pixel cracks in large samples where the size of the sample is preventing high-resolution mu CT studies of the entire sample. The X-ray grating interferometer produces three distinct modality signals: absorption, phase and dark field. The method utilizes the unique scattering features of the dark-field signal. We have used tomograms reconstructed from each of the three signals to detect cracks in a model sample consisting of stearin.
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Applied Physics A: Materials Science & Processing
volume
121
issue
3
pages
1243 - 1250
publisher
Springer
external identifiers
  • wos:000364914100049
  • scopus:84947039559
ISSN
1432-0630
DOI
10.1007/s00339-015-9496-2
language
English
LU publication?
yes
id
a65cdd64-b1d6-48f3-982a-dcb9e9c0a7b4 (old id 8539579)
date added to LUP
2016-04-01 10:48:13
date last changed
2022-04-12 17:50:48
@article{a65cdd64-b1d6-48f3-982a-dcb9e9c0a7b4,
  abstract     = {{We present a new method for detecting fractures in solid materials below the resolution given by the detector pixel size by using grating-based X-ray interferometry. The technique is particularly useful for detecting sub-pixel cracks in large samples where the size of the sample is preventing high-resolution mu CT studies of the entire sample. The X-ray grating interferometer produces three distinct modality signals: absorption, phase and dark field. The method utilizes the unique scattering features of the dark-field signal. We have used tomograms reconstructed from each of the three signals to detect cracks in a model sample consisting of stearin.}},
  author       = {{Lauridsen, Torsten and Willner, Marian and Bech, Martin and Pfeiffer, Franz and Feidenhans'l, Robert}},
  issn         = {{1432-0630}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{1243--1250}},
  publisher    = {{Springer}},
  series       = {{Applied Physics A: Materials Science & Processing}},
  title        = {{Detection of sub-pixel fractures in X-ray dark-field tomography}},
  url          = {{http://dx.doi.org/10.1007/s00339-015-9496-2}},
  doi          = {{10.1007/s00339-015-9496-2}},
  volume       = {{121}},
  year         = {{2015}},
}