Analysis Of Brain White Matter Hyperintensities Using Pattern Recognition Techniques

dc.creatorBento M.
dc.creatorRittner L.
dc.creatorAppenzeller S.
dc.creatorLapa A.
dc.creatorLotufo R.
dc.date2013
dc.date2015-06-25T19:09:21Z
dc.date2015-11-26T15:07:15Z
dc.date2015-06-25T19:09:21Z
dc.date2015-11-26T15:07:15Z
dc.date.accessioned2018-03-28T22:17:40Z
dc.date.available2018-03-28T22:17:40Z
dc.identifier9780819494436
dc.identifierProgress In Biomedical Optics And Imaging - Proceedings Of Spie. , v. 8669, n. , p. - , 2013.
dc.identifier16057422
dc.identifier10.1117/12.2006924
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84878332224&partnerID=40&md5=1db6c4875cf2a11c52dde81cf82d9401
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/88279
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/88279
dc.identifier2-s2.0-84878332224
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1257412
dc.descriptionThe brain white matter is responsible for the transmission of electrical signals through the central nervous system. Lesions in the brain white matter, called white matter hyperintensity (WMH), can cause a significant functional deficit. WMH are commonly seen in normal aging, but also in a number of neurological and psychiatric disorders. We propose here an automatic method for WHM analysis in order to distinguish regions of interest between normal and non-normal white matter (identification task) and also to distinguish different types of lesions based on their etiology: demyelinating or ischemic (classification task). The method combines texture analysis with the use of classifiers, such as Support Vector Machine (SVM), Nearst Neighboor (1NN), Linear Discriminant Analysis (LDA) and Optimum Path Forest (OPF). Experiments with real brain MRI data showed that the proposed method is suitable to identify and classify the brain lesions. © 2013 SPIE.
dc.description8669
dc.description
dc.description
dc.description
dc.descriptionThe Society of Photo-Optical Instrumentation Engineers (SPIE),Aeroflex Incorporated,CREOL - Univ. Central Florida, Coll. Opt. Photonics,DQE Instruments, Inc.,Medtronic, Inc.,PIXELTEQ, Multispectral Sensing and Imaging
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dc.languageen
dc.publisher
dc.relationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
dc.rightsfechado
dc.sourceScopus
dc.titleAnalysis Of Brain White Matter Hyperintensities Using Pattern Recognition Techniques
dc.typeActas de congresos


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