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Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism

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Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism

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dc.contributor.author Cosa Liñán, Alejandro es_ES
dc.contributor.author Canals Gamoneda, Santiago es_ES
dc.contributor.author Vallés Lluch, Ana es_ES
dc.contributor.author Moratal Pérez, David es_ES
dc.date.accessioned 2017-07-11T10:13:51Z
dc.date.available 2017-07-11T10:13:51Z
dc.date.issued 2013
dc.identifier.issn 1557-170X
dc.identifier.uri http://hdl.handle.net/10251/84914
dc.description.abstract In this work, a novel brain MRI segmentation approach evaluates microstructural differences between groups. Going further from the traditional segmentation of brain tissues (white matter -WM-, gray matter -GM- and cerebrospinal fluid -CSF- or a mixture of them), a new way to classify brain areas is proposed using their microstructural MR properties. Eight rats were studied using the proposed methodology identifying regions which present microstructural differences as a consequence on one month of hard alcohol consumption. Differences in relaxation times of the tissues have been found in different brain regions (p<0.05). Furthermore, these changes allowed the automatic classification of the animals based on their drinking history (hit rate of 93.75 % of the cases). es_ES
dc.language Inglés es_ES
dc.relation.ispartof IEEE Engineering in Medicine and Biology Society. Conference Proceedings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject MAXIMUM-LIKELIHOOD es_ES
dc.subject MORPHOMETRY es_ES
dc.subject MODEL es_ES
dc.subject ALGORITHM es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/EMBC.2013.6609685
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Termodinámica Aplicada - Departament de Termodinàmica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular es_ES
dc.description.bibliographicCitation Cosa Liñan, A.; Canals Gamoneda, S.; Vallés Lluch, A.; Moratal Pérez, D. (2013). Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism. IEEE Engineering in Medicine and Biology Society. Conference Proceedings. 2013:1053-1056. doi:10.1109/EMBC.2013.6609685 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1109/EMBC.2013.6609685 es_ES
dc.description.upvformatpinicio 1053 es_ES
dc.description.upvformatpfin 1056 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2013 es_ES
dc.relation.senia 265563 es_ES


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