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dc.contributor.authorZang, Guangming
dc.contributor.authorIdoughi, Ramzi
dc.contributor.authorTao, Ran
dc.contributor.authorLubineau, Gilles
dc.contributor.authorWonka, Peter
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2018-10-08T11:26:32Z
dc.date.available2018-10-08T11:26:32Z
dc.date.issued2018-07-31
dc.identifier.citationZang, G., Idouchi, R., Tao, R., Lubineau, G., Wonka, P., & Heidrich, W. (2018). Space-time tomography for continuously deforming objects. ACM Transactions on Graphics, 37(4), 1–14. doi:10.1145/3197517.3201298
dc.identifier.doi10.1145/3197517.3201298
dc.identifier.urihttp://hdl.handle.net/10754/628902
dc.description.abstractX-ray computed tomography (CT) is a valuable tool for analyzing objects with interesting internal structure or complex geometries that are not accessible with optical means. Unfortunately, tomographic reconstruction of complex shapes requires a multitude (often hundreds or thousands) of projections from different viewpoints. Such a large number of projections can only be acquired in a time-sequential fashion. This significantly limits the ability to use x-ray tomography for either objects that undergo uncontrolled shape change at the time scale of a scan, or else for analyzing dynamic phenomena, where the motion itself is under investigation. In this work, we present a non-parametric space-time tomographic method for tackling such dynamic settings. Through a combination of a new CT image acquisition strategy, a space-time tomographic image formation model, and an alternating, multi-scale solver, we achieve a general approach that can be used to analyze a wide range of dynamic phenomena. We demonstrate our method with extensive experiments on both real and simulated data.
dc.description.sponsorshipThis work was supported by King Abdullah University of Science and Technology as part of VCC Center Competitive Funding
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttps://vccimaging.org/Publications/Zang2018Space-time/
dc.subjectX-ray computed tomography
dc.subject4D reconstruction
dc.subjectOptimization
dc.titleSpace-time Tomography for Continuously Deforming Objects
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalACM Transactions on Graphics (TOG)
dc.eprint.versionPublisher's Version/PDF
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
dc.relation.issupplementedbyHandle:http://hdl.handle.net/10754/627676
refterms.dateFOA2018-10-08T00:00:00Z
display.relations<b>Is Supplemented By:</b><br/> <ul><li><i>[Dataset]</i> <br/> Title: Data for "Space-time Tomography for Continuously Deforming Objects". Publication Date: 2018-04-26. Handle: <a href="http://hdl.handle.net/10754/627676" >10754/627676</a></a></li></ul>
dc.date.published-online2018-07-31
dc.date.published-print2018-07-30


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