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Identifying Demyelinating and Ischemia brain diseases through magnetic resonance images processing

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Identifying Demyelinating and Ischemia brain diseases through magnetic resonance images processing

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dc.contributor.author Castillo, Darwin P. es_ES
dc.contributor.author Samaniego, René J. es_ES
dc.contributor.author Jimenez, Yuliana es_ES
dc.contributor.author Cuenca, Luis A. es_ES
dc.contributor.author Vivanco, Oscar A es_ES
dc.contributor.author Álvarez-Gómez, Juan Manuel es_ES
dc.contributor.author Rodríguez-Álvarez, María J. es_ES
dc.date.accessioned 2021-09-01T09:14:40Z
dc.date.available 2021-09-01T09:14:40Z
dc.date.issued 2019-11-02 es_ES
dc.identifier.isbn 978-1-7281-4164-0 es_ES
dc.identifier.issn 2577-0829 es_ES
dc.identifier.uri http://hdl.handle.net/10251/171138
dc.description.abstract [Otros] ¿Brain Magnetic Resonance Images are a very useful tool for the diagnosis of brain diseases and analyse brain changes. The appropriate processing (neuroimaging) can help to identify, measure and classify different lesions or abnormalities. The principal aim of this project is to develop an algorithm that can identify and differentiate ischemic disease than the demyelinating disease in the brain through the processing of magnetic resonance images. The damage and deterioration of the myelin layer of nerve fibers (brain demyelination) is the cause of pathologies like multiple sclerosis. Ischemic stroke is produced by the interruption of the blood supply to the brain. The dataset used was composed of images T1, T2 and FLAIR modalities of 90 patients from the hospital. For the segmentation of the features, the identification and the classification of the lesions have used the methods of Discrete Wavelet Transform (DWT), principal component analysis (PCA) and support vector machine (SVM). The results present 60 to 80% of accuracy to identify and differentiate the diseases. es_ES
dc.language Otros es_ES
dc.publisher IEEE es_ES
dc.relation.ispartof 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Brain disease es_ES
dc.subject Image processing es_ES
dc.subject MRI es_ES
dc.subject Demyelinating es_ES
dc.subject Ischemia es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Identifying Demyelinating and Ischemia brain diseases through magnetic resonance images processing es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1109/NSS/MIC42101.2019.9060022 es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.description.bibliographicCitation Castillo, DP.; Samaniego, RJ.; Jimenez, Y.; Cuenca, LA.; Vivanco, OA.; Álvarez-Gómez, JM.; Rodríguez-Álvarez, MJ. (2019). Identifying Demyelinating and Ischemia brain diseases through magnetic resonance images processing. IEEE. 1-3. https://doi.org/10.1109/NSS/MIC42101.2019.9060022 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2019) es_ES
dc.relation.conferencedate Octubre 26-Noviembre 02,2019 es_ES
dc.relation.conferenceplace Manchester, UK es_ES
dc.relation.publisherversion https://doi.org/10.1109/NSS/MIC42101.2019.9060022 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 3 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\419615 es_ES


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