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dc.contributor.authorPetruccelli, Jonathan C.
dc.contributor.authorTahir, Sajjad
dc.contributor.authorBashir, Sajid
dc.contributor.authorPan, Adam
dc.contributor.authorTian, Lei
dc.contributor.authorXu, Ling
dc.contributor.authorMacDonald, C. A.
dc.contributor.authorBarbastathis, George
dc.date.accessioned2018-11-16T15:56:11Z
dc.date.available2018-11-16T15:56:11Z
dc.date.issued2014-08
dc.identifier.urihttp://hdl.handle.net/1721.1/119146
dc.description.abstractX-ray phase imaging utilizes a variety of techniques to render phase information as intensity contrast and these intensity images can in some cases be processed to retrieve quantitative phase. A subset of these techniques use free space propagation to generate phase contrast and phase can be recovered by inverting differential equations governing propagation. Two techniques to generate quantitative phase reconstructions from a single phase contrast image are described in detail, along with regularization techniques to reduce the inuence of noise. Lastly, a recently developed technique utilizing a binary-amplitude grid to enhance signal strength in propagation-based techniques is described.en_US
dc.description.sponsorshipUnited States. Department of Homeland Security. Science and Technology Directorate (Contract HSHQDC-11-C-00083)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (R01EB009715)en_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.2062917en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSPIEen_US
dc.titleComputational techniques in propagation-based x-ray phase imagingen_US
dc.typeArticleen_US
dc.identifier.citationPetruccelli, Jonathan C., et al. "Computational Techniques in Propagation-Based x-Ray Phase Imaging, Proceedings of SPIE 9209, Advances in Computational Methods for X-Ray Optics III, 17-21 August, 2014, San Diego, California, edited by Manuel Sanchez del Rio and Oleg Chubar, 2014, p. 92090P. © 2014 SPIEen_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorPan, Adam
dc.contributor.mitauthorXu, Ling
dc.contributor.mitauthorBarbastathis, George
dc.relation.journalProceedings of SPIE 9209, Advances in Computational Methods for X-Ray Optics IIIen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2018-10-29T15:40:55Z
dspace.orderedauthorsPetruccelli, Jonathan C.; Tahir, Sajjad; Bashir, Sajid; Pan, Adam; Tian, Lei; Xu, Ling; MacDonald, C. A.; Barbastathis, Georgeen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5770-1241
dc.identifier.orcidhttps://orcid.org/0000-0003-4161-9574
dc.identifier.orcidhttps://orcid.org/0000-0002-4140-1404
mit.licensePUBLISHER_POLICYen_US


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