Title:
Vessel Segmentation Using a Shape Driven Flow

dc.contributor.author Nain, Delphine en_US
dc.contributor.author Yezzi, Anthony en_US
dc.contributor.author Turk, Greg en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.date.accessioned 2009-11-24T19:24:37Z
dc.date.available 2009-11-24T19:24:37Z
dc.date.issued 2004-09
dc.description ©2004 Springer. The original publication is available at www.springerlink.com: http://dx.doi.org/10.1007/b100265 en_US
dc.description DOI: 10.1007/b100265 en_US
dc.description.abstract We present a segmentation method for vessels using an implicit deformable model with a soft shape prior. Blood vessels are challenging structures to segment due to their branching and thinning geometry as well as the decrease in image contrast from the root of the vessel to its thin branches. Using image intensity alone to deform a model for the task of segmentation often results in leakages at areas where the image information is ambiguous. To address this problem, we combine image statistics and shape information to derive a region-based active contour that segments tubular structures and penalizes leakages. We present results on synthetic and real 2D and 3D datasets. en_US
dc.identifier.citation Delphine Nain, Anthony Yezzi and Greg Turk, "Vessel Segmentation Using a Shape Driven Flow," Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I, Christian Barillot David R. Haynor, Pierre Hellier, editors, Lecture Notes in Computer Science, Vol 3216 (2004) 51-59. en_US
dc.identifier.isbn 978-3-540-22976-6
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/1853/31229
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Springer Verlag en_US
dc.subject Segmentation en_US
dc.subject Blood-vessels en_US
dc.subject Active contours en_US
dc.subject Image statistics en_US
dc.title Vessel Segmentation Using a Shape Driven Flow en_US
dc.type Text
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Turk, Greg
local.contributor.author Yezzi, Anthony
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
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relation.isOrgUnitOfPublication da59be3c-3d0a-41da-91b9-ebe2ecc83b66
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