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dc.contributor.authorSatat, Guy
dc.contributor.authorBarsi, Christopher
dc.contributor.authorRaskar, Ramesh
dc.date.accessioned2015-01-07T17:33:09Z
dc.date.available2015-01-07T17:33:09Z
dc.date.issued2014-05
dc.identifier.isbn978-1-4799-5188-8
dc.identifier.otherINSPEC Accession Number: 14383054
dc.identifier.urihttp://hdl.handle.net/1721.1/92732
dc.description.abstractThe separation of global and direct light components of a scene is highly useful for scene analysis, as each component offers different information about illumination-scene-detector interactions. Relying on ray optics, the technique is important in computational photography, but it is often under appreciated in the biomedical imaging community, where wave interference effects are utilized. Nevertheless, such coherent optical systems lend themselves naturally to global-direct separation methods because of the high spatial frequency nature of speckle interference patterns. Here, we extend global-direct separation to laser speckle contrast imaging (LSCI) system to reconstruct speed maps of blood flow in skin. We compare experimental results with a speckle formation model of moving objects and show that the reconstructed map of skin perfusion is improved over the conventional case.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICCPHOT.2014.6831804en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleSkin perfusion photographyen_US
dc.typeArticleen_US
dc.identifier.citationSatat, Guy, Christopher Barsi, and Ramesh Raskar. “Skin Perfusion Photography.” 2014 IEEE International Conference on Computational Photography (ICCP) (May 2014), Santa Clara, Calif. p.1-8.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorSatat, Guyen_US
dc.contributor.mitauthorBarsi, Christopheren_US
dc.contributor.mitauthorRaskar, Rameshen_US
dc.relation.journal2014 IEEE International Conference on Computational Photography (ICCP)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsSatat, Guy; Barsi, Christopher; Raskar, Rameshen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0234-5294
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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