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	Provedor de dados BJMBR (2) Autor Brum,D.G. (2) Comini-Frota,E.R. (1) Diniz,P.R.B. (1) Donadi,E.A. (1) Kaimen-Maciel,D.R. (1) Miranda,E.C. (1) Murta-Junior,L.O. (1) Rodrigues,D.H. (1) Santos,A.C. (1) Teixeira,A.L. (1) de Araújo,D.B. (1) Mais... Palavra-chave Multiple sclerosis (2) Automatic segmentation (1) BDNF (1) Biomarkers (1) Magnetic resonance image (1) Neuroimaging (1) Neurotrophins (1) Tsallis entropy (1) Volumetry (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2012 (1) 2010 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Serum levels of brain-derived neurotrophicfactor correlate with the number of T2 MRI lesions in multiple sclerosis BJMBR Comini-Frota,E.R.; Rodrigues,D.H.; Miranda,E.C.; Brum,D.G.; Kaimen-Maciel,D.R.; Donadi,E.A.; Teixeira,A.L.. The objective of the present study was to determine if there is a relationship between serum levels of brain-derived neurotrophic factor (BDNF) and the number of T2/fluid-attenuated inversion recovery (T2/FLAIR) lesions in multiple sclerosis (MS). The use of magnetic resonance imaging (MRI) has revolutionized the study of MS. However, MRI has limitations and the use of other biomarkers such as BDNF may be useful for the clinical assessment and the study of the disease. Serum was obtained from 28 MS patients, 18-50 years old (median 38), 21 women, 0.5-10 years (median 5) of disease duration, EDSS 1-4 (median 1.5) and 28 healthy controls, 19-49 years old (median 33), 19 women. BDNF levels were measured by ELISA. T1, T2/FLAIR and gadolinium-enhanced lesions... Tipo: Info:eu-repo/semantics/article Palavras-chave: Multiple sclerosis; Biomarkers; Neurotrophins; BDNF; Neuroimaging. Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2012000100011 Brain tissue segmentation using q-entropy in multiple sclerosis magnetic resonance images BJMBR Diniz,P.R.B.; Murta-Junior,L.O.; Brum,D.G.; de Araújo,D.B.; Santos,A.C.. The loss of brain volume has been used as a marker of tissue destruction and can be used as an index of the progression of neurodegenerative diseases, such as multiple sclerosis. In the present study, we tested a new method for tissue segmentation based on pixel intensity threshold using generalized Tsallis entropy to determine a statistical segmentation parameter for each single class of brain tissue. We compared the performance of this method using a range of different q parameters and found a different optimal q parameter for white matter, gray matter, and cerebrospinal fluid. Our results support the conclusion that the differences in structural correlations and scale invariant similarities present in each tissue class can be accessed by generalized... Tipo: Info:eu-repo/semantics/article Palavras-chave: Multiple sclerosis; Automatic segmentation; Magnetic resonance image; Volumetry; Tsallis entropy. Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2010000100011 Registros recuperados: 2 Primeira ... 1 ... Última

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