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dc.contributor.authorYezzi, Anthony
dc.contributor.authorZöllei, Lilla
dc.contributor.authorKapur, Tina
dc.date.accessioned2013-10-08T14:25:40Z
dc.date.available2013-10-08T14:25:40Z
dc.date.issued2001-12
dc.identifier.citationYezzi, A.; Zollei, L.; & Kapur, T. (2001). “A Variational Framework for Joint Segmentation and Registration”. Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2001, pp.44-51.en_US
dc.identifier.isbn0-7695-1336-0
dc.identifier.urihttp://hdl.handle.net/1853/49191
dc.description© 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.descriptionDOI: 10.1109/MMBIA.2001.991698
dc.description.abstractTraditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other: In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple images. The key observation is that multiple images may be segmented by evolving a single contour as well as the mappings of that contour into each image. To the best of our knowledge, this is the frst attempt at interleaving segmentation and registration in such a framework.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectActive contoursen_US
dc.subjectImage segmentationen_US
dc.subjectLevel seten_US
dc.subjectMedical imagesen_US
dc.subjectRegistrationen_US
dc.subjectSegmentationen_US
dc.titleA Variational Framework for Joint Segmentation and Registrationen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US
dc.contributor.corporatenameMassachusetts Institute of Technology. Artificial Intelligence Laboratoryen_US
dc.contributor.corporatenameVisualization Technologyen_US
dc.publisher.originalInstitute of Electrical and Electronics Engineers
dc.identifier.doi10.1109/MMBIA.2001.991698
dc.embargo.termsnullen_US


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