Title:
Brain MRI T₁-Map and T₁-weighted Image Segmentation in a Variational Framework

dc.contributor.author Cheng, Ping-Feng
dc.contributor.author Steen, R.Grant
dc.contributor.author Yezzi, Anthony
dc.contributor.author Krim, Hamid
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.date.accessioned 2013-09-16T19:59:24Z
dc.date.available 2013-09-16T19:59:24Z
dc.date.issued 2009-06
dc.description © 2009 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 Presented at the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), 19-24 April 2009, Taipei, Taiwan. en_US
dc.description DOI: 101109/ICASSP.2009.4959609 en_US
dc.description.abstract In this paper we propose a constrained version of Mumford- Shah’s[1] segmentationwith an information-theoretic point of view[2] in order to devise a systematic procedure to segment brain MRI data for two modalities of parametric T₁-Map and T₁-weighted images in both 2-D and 3-D settings. The incorporation of a tuning weight in particular adds a probabilistic flavor to our segmentation method, and makes the three-tissue segmentation possible. Our method uses region based active contours which have proven to be robust. The method is validated by two real objects which were used to generate T₁- Maps and also by two simulated brains of T₁-weighted data from the BrainWeb[3] public database. en_US
dc.identifier.citation Chen, P.F.; Steen, R.G.; Yezzi, A.; & Krim, H. (2009). “Brain MRI T₁-Map and T₁-Weighted Image Segmentation in a Variational Framework.” Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), 19-24 April 2009, pp.417-420. en_US
dc.identifier.doi 10.1109/ICASSP.2009.4959609
dc.identifier.isbn 978-1-4244-2353-8
dc.identifier.issn 1520-6149
dc.identifier.uri http://hdl.handle.net/1853/48951
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers
dc.subject Active contour en_US
dc.subject Mumford-Shah en_US
dc.subject Region-based active contour en_US
dc.subject T₁-Map en_US
dc.subject T₁-weighted image en_US
dc.title Brain MRI T₁-Map and T₁-weighted Image Segmentation in a Variational Framework en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Yezzi, Anthony
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAuthorOfPublication 53ee63a2-04fd-454f-b094-02a4601962d8
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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