Fast three-dimensional phase retrieval in propagation-based X-ray tomography

Title
Fast three-dimensional phase retrieval in propagation-based X-ray tomography
Publication Date
2019-05
Author(s)
Thompson, Darren A
Nesterets, Yakov I
Pavlov, Konstantin M
( author )
OrcID: https://orcid.org/0000-0002-1756-4406
Email: kpavlov@une.edu.au
UNE Id une-id:kpavlov
Gureyev, Timur E
( author )
OrcID: https://orcid.org/0000-0002-1103-0649
Email: tgureyev@une.edu.au
UNE Id une-id:tgureyev
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Wiley-Blackwell Publishing Ltd
Place of publication
United Kingdom
DOI
10.1107/S1600577519002133
UNE publication id
une:1959.11/29306
Abstract
The following article describes a method for 3D reconstruction of multi-material objects based on propagation-based X-ray phase-contrast tomography (PB-CT) with phase retrieval using the homogeneous form of the transport of intensity equation (TIE-Hom). Unlike conventional PB-CT algorithms that perform phase retrieval of individual projections, the described post-reconstruction phase-retrieval method is applied in 3D to a localized region of the CT-reconstructed volume. This work demonstrates, via numerical simulations, the accuracy and noise characteristics of the method under a variety of experimental conditions, comparing it with both conventional absorption tomography and 2D TIE-Hom phase retrieval applied to projection images. The results indicate that the 3D post-reconstruction method generally achieves a modest improvement in noise suppression over existing PB-CT methods. It is also shown that potentially large computational gains over projection-based phase retrieval for multi-material samples are possible. In particular, constraining phase retrieval to a localized 3D region of interest reduces the overall computational cost and eliminates the need for multiple CT reconstructions and global 2D phase retrieval operations for each material within the sample.
Link
Citation
Journal of Synchrotron Radiation, v.26, p. 825-838
ISSN
1600-5775
0909-0495
Pubmed ID
31074448
Start page
825
End page
838

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