Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/31259
Type: Artigo de periódico
Title: Texture analysis of computed tomography images of acute ischemic stroke patients
Author: Oliveira, M.S.
Fernandes, P.T.
Avelar, W.M.
Santos, S.L.M.
Castellano, G.
Li, L.M.
Abstract: Computed tomography (CT) images are routinely used to assess ischemic brain stroke in the acute phase. They can provide important clues about whether to treat the patient by thrombolysis with tissue plasminogen activator. However, in the acute phase, the lesions may be difficult to detect in the images using standard visual analysis. The objective of the present study was to determine if texture analysis techniques applied to CT images of stroke patients could differentiate between normal tissue and affected areas that usually go unperceived under visual analysis. We performed a pilot study in which texture analysis, based on the gray level co-occurrence matrix, was applied to the CT brain images of 5 patients and of 5 control subjects and the results were compared by discriminant analysis. Thirteen regions of interest, regarding areas that may be potentially affected by ischemic stroke, were selected for calculation of texture parameters. All regions of interest for all subjects were classified as lesional or non-lesional tissue by an expert neuroradiologist. Visual assessment of the discriminant analysis graphs showed differences in the values of texture parameters between patients and controls, and also between texture parameters for lesional and non-lesional tissue of the patients. This suggests that texture analysis can indeed be a useful tool to help neurologists in the early assessment of ischemic stroke and quantification of the extent of the affected areas.
Subject: Texture analysis
Computed tomography
Thrombolysis
Discriminant analysis
Editor: Associação Brasileira de Divulgação Científica
Rights: aberto
Identifier DOI: 10.1590/S0100-879X2009005000034
Address: http://dx.doi.org/10.1590/S0100-879X2009005000034
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009001100012
Date Issue: 1-Nov-2009
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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