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dc.contributor.authorLi, Hua
dc.contributor.authorYezzi, Anthony
dc.contributor.authorCohen, Laurent D.
dc.date.accessioned2014-08-28T12:55:18Z
dc.date.available2014-08-28T12:55:18Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/13874
dc.language.isoenen
dc.subject3D brain segmentation algorithmsen
dc.subject.ddc519en
dc.titleFast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interactionen
dc.typeCommunication / Conférence
dc.description.abstractenImportant attributes of 3D brain segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms incorporate all of these traits. Manual segmentation is highly accurate but tedious and laborious. Most automatic techniques, while less demanding on the user, are much less accurate. It would be useful to employ a fast automatic segmentation procedure to do most of the work but still allow an expert user to interactively guide the segmentation to ensure an accurate final result. We propose a novel 3D brain cortex segmentation procedure utilizing dual-front active contours, which minimize image-based energies in a manner that yields more global minimizers compared to standard active contours. The resulting scheme is not only more robust but much faster and allows the user to guide the final segmentation through simple mouse clicks which add extra seed points. Due to the global nature of the evolution model, single mouse clicks yield corrections to the segmentation that extend far beyond their initial locations, thus minimizing the user effort. Results on 15 simulated and 20 real 3D brain images demonstrate the robustness, accuracy, and speed of our scheme compared with other methods.en
dc.identifier.citationpages335-345en
dc.relation.ispartofseriestitleLecture Notes in Computer Scienceen
dc.relation.ispartofseriesnumber3765en
dc.relation.ispartoftitleComputer Vision for Biomedical Image Applications First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005. Proceedingsen
dc.relation.ispartofeditorLiu, Yanxi
dc.relation.ispartofeditorJiang, Tianzi
dc.relation.ispartofeditorZhang, Changshui
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofpublcityBerlinen
dc.relation.ispartofdate2005
dc.relation.ispartofpages563en
dc.relation.ispartofurlhttp://dx.doi.org/10.1007/11569541en
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-3-540-29411-5en
dc.relation.conftitleComputer Vision for Biomedical Image Applications First International Workshop, CVBIA 2005en
dc.relation.confdate2005-10
dc.relation.confcityBeijingen
dc.relation.confcountryChineen
dc.relation.forthcomingnonen
dc.identifier.doihttp://dx.doi.org/10.1007/11569541_34en


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