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X-ray in-line phase retrieval for tomography
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics. KTH, School of Biotechnology (BIO), Centres, Albanova VinnExcellence Center for Protein Technology, ProNova.ORCID iD: 0000-0003-3804-0561
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics. KTH, School of Biotechnology (BIO), Centres, Albanova VinnExcellence Center for Protein Technology, ProNova.ORCID iD: 0000-0001-7637-1850
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics. KTH, School of Biotechnology (BIO), Centres, Albanova VinnExcellence Center for Protein Technology, ProNova.
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics. KTH, School of Biotechnology (BIO), Centres, Albanova VinnExcellence Center for Protein Technology, ProNova.ORCID iD: 0000-0002-9487-669X
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2012 (English)In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE, SPIE - International Society for Optical Engineering, 2012, Vol. 8313, 83136A- p.Conference paper, Published paper (Refereed)
Abstract [en]

Phase contrast in X-ray imaging offers imaging of fine features at lower doses than absorption. Of the phasecontrast methods in use in-line phase contrast is interesting due to its experimental simplicity, but to extract information on absorption and phase distributions from the resulting images, phase retrieval is needed. Many phase-retrieval methods suitable for different situations have been developed, but few comparisons of those methods done. We consider a sub-group of phase-retrieval methods that are suitable for tomography, i.e., that use only one exposure (for practical experimental reasons) and are non-iterative (for speed). In total we have found seven suitable methods in the literature. All, though derived in different ways under different assumptions, follow the same pattern and can be outlined as a single method where each specific version is marked by variations in particular steps. We summarize this unified approach, and give the variations of the individual methods. In addition, we outline approximations and assumptions of each method. Using this approach it is possible to conclude which specific algorithms are most suitable in specific situations and to test this based on simulated and experimental data. Ultimately, this leads to conclusions on which methods are the most suitable in different situations.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2012. Vol. 8313, 83136A- p.
Series
Progress in Biomedical Optics and Imaging, ISSN 1605-7422 ; 8313
Keyword [en]
phase contrast, phase retrieval, tomography, X-ray imaging, Experimental data, Fine Feature, In-line, In-line phase contrast, Non-iterative, Phase contrasts, Phase distribution, Phase-contrast methods, Unified approach, Xray imaging, Information retrieval, X ray analysis, Medical imaging
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Other Physics Topics
Identifiers
URN: urn:nbn:se:kth:diva-98178DOI: 10.1117/12.906391ISI: 000304768000211Scopus ID: 2-s2.0-84860354424ISBN: 978-081948962-3 (print)OAI: oai:DiVA.org:kth-98178DiVA: diva2:536822
Conference
Medical Imaging 2012: Physics of Medical Imaging; San Diego, CA; 5 February 2012 through 8 February 2012
Note
QC 20120625Available from: 2012-06-25 Created: 2012-06-20 Last updated: 2014-01-14Bibliographically approved

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Burvall, AnnaLundström, UlfLarsson, DanielHertz, Hans

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Burvall, AnnaLundström, UlfTakman, PerLarsson, DanielHertz, Hans
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Biomedical and X-ray PhysicsAlbanova VinnExcellence Center for Protein Technology, ProNova
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