Fcd Segmentation Using Texture Asymmetry Of Mr-t1 Images Of The Brain

dc.creatorBergo F.P.G.
dc.creatorFalcao A.X.
dc.creatorYasuda C.L.
dc.creatorCendes F.
dc.date2008
dc.date2015-06-30T19:19:53Z
dc.date2015-11-26T14:42:16Z
dc.date2015-06-30T19:19:53Z
dc.date2015-11-26T14:42:16Z
dc.date.accessioned2018-03-28T21:49:43Z
dc.date.available2018-03-28T21:49:43Z
dc.identifier9781424420032
dc.identifier2008 5th Ieee International Symposium On Biomedical Imaging: From Nano To Macro, Proceedings, Isbi. , v. , n. , p. 424 - 427, 2008.
dc.identifier
dc.identifier10.1109/ISBI.2008.4541023
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-51049111628&partnerID=40&md5=901e830c2fcd71acb83940a8220458c5
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/105786
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/105786
dc.identifier2-s2.0-51049111628
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1251190
dc.descriptionFocal cortical dysplasia is the most common malformation in patients with intractable epilepsy. The segmentation of FCD lesions in MR-T1 images of the brain is a crucial step for treatment planning. In this work we present a new FCD segmentation technique based on analysis of texture asymmetry. This technique does not rely on template-based segmentation and is applicable to patients of any age, regardless of anatomic variations. We evaluated the method on 5 patients (aged 11y-51y), and obtained 100% detection rate and coverage of 76.9% of the lesional voxels. ©2007 IEEE.
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dc.languageen
dc.publisher
dc.relation2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
dc.rightsfechado
dc.sourceScopus
dc.titleFcd Segmentation Using Texture Asymmetry Of Mr-t1 Images Of The Brain
dc.typeActas de congresos


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