dc.contributor.author | Yezzi, Anthony | |
dc.contributor.author | Zöllei, Lilla | |
dc.contributor.author | Kapur, Tina | |
dc.date.accessioned | 2013-10-08T14:25:40Z | |
dc.date.available | 2013-10-08T14:25:40Z | |
dc.date.issued | 2001-12 | |
dc.identifier.citation | Yezzi, 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.isbn | 0-7695-1336-0 | |
dc.identifier.uri | http://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.description | DOI: 10.1109/MMBIA.2001.991698 | |
dc.description.abstract | Traditionally, 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.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.subject | Active contours | en_US |
dc.subject | Image segmentation | en_US |
dc.subject | Level set | en_US |
dc.subject | Medical images | en_US |
dc.subject | Registration | en_US |
dc.subject | Segmentation | en_US |
dc.title | A Variational Framework for Joint Segmentation and Registration | en_US |
dc.type | Proceedings | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | en_US |
dc.contributor.corporatename | Massachusetts Institute of Technology. Artificial Intelligence Laboratory | en_US |
dc.contributor.corporatename | Visualization Technology | en_US |
dc.publisher.original | Institute of Electrical and Electronics Engineers | |
dc.identifier.doi | 10.1109/MMBIA.2001.991698 | |
dc.embargo.terms | null | en_US |