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A first investigation of accuracy, precision and sensitivity of phase-based x-ray dark-field imaging

Astolfo, A; Endrizzi, M; Kallon, G; Millard, T; Vittoria, FA; Olivo, A; (2016) A first investigation of accuracy, precision and sensitivity of phase-based x-ray dark-field imaging. Journal of Physics D: Applied Physics , 49 (48) , Article 485501. 10.1088/0022-3727/49/48/485501. Green open access

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Abstract

In the last two decades, x-ray phase contrast imaging (XPCI) has attracted attention as a potentially significant improvement over widespread and established x-ray imaging. The key is its capability to access a new physical quantity (the ‘phase shift’), which can be complementary to x-ray absorption. One additional advantage of XPCI is its sensitivity to micro structural details through the refraction induced dark-field (DF). While DF is extensively mentioned and used for several applications, predicting the capability of an XPCI system to retrieve DF quantitatively is not straightforward. In this article, we evaluate the impact of different design options and algorithms on DF retrieval for the Edge-Illumination (EI) XPCI technique. Monte Carlo simulations, supported by experimental data, are used to measure the accuracy, precision and sensitivity of DF retrieval performed with several EI systems based on conventional x-ray sources. The introduced tools are easy to implement, and general enough to assess the DF performance of systems based on alternative (i.e. non-EI) XPCI approaches.

Type: Article
Title: A first investigation of accuracy, precision and sensitivity of phase-based x-ray dark-field imaging
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/0022-3727/49/48/485501
Publisher version: http://dx.doi.org/10.1088/0022-3727/49/48/485501
Language: English
Additional information: Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1522114
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