Zamir, A;
Endrizzi, M;
Hagen, CK;
Vittoria, FA;
Urbani, L;
De Coppi, P;
Olivo, A;
(2016)
Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments.
Scientific Reports
, 6
, Article 31197. 10.1038/srep31197.
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Zamir et al Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments VoR.pdf Download (1MB) |
Abstract
Edge illumination x-ray phase contrast tomography is a recently developed imaging technique which enables three-dimensional visualisation of low-absorbing materials. Dedicated phase retrieval algorithms can provide separate computed tomography (CT) maps of sample absorption, refraction and scattering properties. In this paper we propose a novel “modified local retrieval” method which is capable of accurately retrieving sample properties in a range of realistic, non-ideal imaging environments. These include system misalignment, defects in the used optical elements and system geometry variations over time due to vibrations or temperature fluctuations. System instabilities were analysed, modelled and incorporated into a simulation study. As a result, an additional modification was introduced to the retrieval procedure to account for changes in the imaging system over time, as well as local variations over the field of view. The performance of the proposed method was evaluated in comparison to a previously used "global retrieval" method by applying both approaches to experimental CT data of a rat’s heart acquired in a non-ideal environment. The use of the proposed method resulted in the removal of major artefacts, leading to a significant improvement in image quality. This method will therefore enable acquiring high-resolution, reliable CT data of large samples in realistic settings.
| Type: | Article |
|---|---|
| Title: | Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/srep31197 |
| Publisher version: | http://dx.doi.org/10.1038/srep31197 |
| Language: | English |
| Additional information: | Copyright © The Author(s) 2016. This work is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Biology and Cancer Dept 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/1503744 |
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