1. Repositorio Digital de la Universidad Fasta
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  3. Facultad de Ingeniería - G.I - Informática y Salud
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dc.creatorBallarín, Virginia L.-
dc.creatorMeschino, Gustavo-
dc.creatorCapiel, Carlos-
dc.creatorComas, Diego S.-
dc.date2016-
dc.date.accessioned2016-11-04T19:56:58Z-
dc.date.accessioned2021-11-26T18:34:35Z-
dc.date.available2016-11-04T19:56:58Z-
dc.date.available2021-11-26T18:34:35Z-
dc.date.issued2016-
dc.identifier.urihttp://redi.ufasta.edu.ar:8082/jspui/handle/123456789/1211-
dc.descriptionEvaluation and diagnosis of diseases of the muscles within the rotator cuff can be done using different modalities, being the Magnetic Resonance the method more widely used. There are criteria to evaluate the degree of fat infiltration and muscle atrophy, but these have low accuracy and show great variability inter and intra observer. In this paper, an analysis of the texture features of the rotator cuff muscles is performed to classify them and other tissues. A general supervised classification approach was used, combining forward-search as feature selection method with kNN as classification rule. Sections of Magnetic Resonance Images of the tissues of interest were selected by specialist doctors and they were considered as Gold Standard. Accuracies obtained were of 93% for T1-weighted images and 92% for T2-weighted images. As an immediate future work, the combination of both sequences of images will be considered, expecting to improve the results, as well as the use of other sequences of Magnetic Resonance Images. This work represents an initial point for the classification and quantification of fat infiltration and muscle atrophy degree. From this initial point, it is expected to make an accurate and objective system which will result in benefits for future research and for patients' health.es_ES
dc.descriptionFil: Meschino, Gustavo. Universidad FASTA. Facultad de Ingeniería; Argentina.-
dc.descriptionFil: Capiel, Carlos. Universidad FASTA. Facultad de Ingeniería; Argentina.-
dc.descriptionFil: Comas, Diego S. Universidad FASTA. Facultad de Ingeniería; Argentina.-
dc.descriptionFil: Ballarín, Virginia L. Universidad FASTA. Facultad de Ingeniería; Argentina.-
dc.formatapplication/pdfes_ES
dc.languagespaes_ES
dc.publisherUniversidad FASTA. Facultad de Ingeniería-
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/deed.es_ARes_ES
dc.sourceinstname:Universidad FASTAes_ES
dc.sourcereponame:REDIes_ES
dc.subjectInformática y Saludes_ES
dc.titleTissue discrimination in magnetic resonance imaging of the rator cuffes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.typeinfo:ar-repo/semantics/artículoes_ES
dc.typeinfo:eu-repo/semantics/publishedVersiones_ES
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