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Ordered subsets convex algorithm for 3D terahertz transmission tomography

hal.structure.identifierDepartment of Applied Mathematics (Canberra)
dc.contributor.authorRECUR, Benoît
hal.structure.identifierLaboratoire Ondes et Matière d'Aquitaine [LOMA]
hal.structure.identifierNoctylio SAS
dc.contributor.authorBALACEY, Hugo
hal.structure.identifierLaboratoire Ondes et Matière d'Aquitaine [LOMA]
dc.contributor.authorBOU SLEIMAN, Joyce
hal.structure.identifierLaboratoire Ondes et Matière d'Aquitaine [LOMA]
dc.contributor.authorPERRAUD, Jean-Baptiste
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorGUILLET, Jean Paul
ORCID: 0000-0003-4434-8052
IDREF: 151192669
hal.structure.identifierDepartment of Applied Mathematics (Canberra)
dc.contributor.authorKINGSTON, Andrew
hal.structure.identifierLaboratoire Ondes et Matière d'Aquitaine [LOMA]
dc.contributor.authorMOUNAIX, Patrick
dc.date.created2014-06-10
dc.date.issued2014-09-22
dc.identifier.issn1094-4087
dc.description.abstractEnWe investigate in this paper a new reconstruction method in order to perform 3D Terahertz (THz) tomography using a continuous wave acquisition setup in transmission mode. This method is based on the Maximum Likelihood for TRansmission tomography (ML-TR) first developed for X-ray imaging. We optimize the Ordered Subsets Convex (OSC) implementation of the ML-TR by including the Gaussian propagation model of THz waves and take into account the intensity distributions of both blank calibration scan and dark-field measured on THz detectors. THz ML-TR reconstruction quality and accuracy are discussed and compared to other tomographic reconstructions.
dc.description.sponsorshipIntegrated Postal Supply Chain Security - ANR-11-SECU-0010
dc.language.isoen
dc.publisherOptical Society of America - OSA Publishing
dc.rights.urihttp://creativecommons.org/licenses/by-nc/
dc.subject.en(100.6890) Three-dimensional image processing
dc.subject.en(170.3010) Image reconstruction techniques
dc.subject.en(120.5800) Scanners.
dc.subject.en(120.5800) Scanners
dc.subject.en(110.6955) Tomographic imaging
dc.subject.en(110.6795) Terahertz imaging
dc.title.enOrdered subsets convex algorithm for 3D terahertz transmission tomography
dc.typeArticle de revue
dc.identifier.doi10.1364/OE.22.023299
dc.subject.halPhysique [physics]/Physique [physics]/Optique [physics.optics]
bordeaux.journalOptics Express
bordeaux.page23299-23309
bordeaux.volume22
bordeaux.issue19
bordeaux.peerReviewedoui
hal.identifierhal-01066999
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01066999v1
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