Segmentação de tumores de encéfalo em imagens por ressonância magnética baseada em informações texturais. / Brain tumor segmentation in magnetic resonance images based on texture information.

AUTOR(ES)

Maryana de Carvalho Alegro

DATA DE PUBLICAÇÃO

2009

RESUMO

Magnetic resonance images are essential in the diagnosing and treatment of brain tumors due to its high amount of anatomic details. The task of segmenting brain tumor regions in these images makes more exact quantitative analysis feasible, allowing a better tracking of the evolution/regression of the disease. Nevertheless, the execution of such task is burdensome, featuring several drawbacks that turns it into a prohibitive one, and makes many doctors unwilling to put it into practice. In this work an automatic brain tumor segmentation system is proposed, in which several types of texture parameters such as statistical, model based and transform based, are applied. Those parameters are extracted from different, extensively used, types of magnetic resonance images (T1, T1 with contrast and FLAIR). Texture analysis techniques are capable of detecting tiny changes in underlying tissue, which are sometimes imperceptible to the human vision, fact that motivates its adoption here. Texture features can also be completed by other kinds of characteristics, such as pixel intensity. The proposed system comprises four basic steps: pre-processing, feature extraction, segmentation, and post-processing, and is based on a support vector machine for pixel classification. Final results shows that the system archived high success rates, which are comparable to results found in related works, and that it was able to locate and delimit tumor areas without any user interaction. For the quantification of the results, some metrics found in papers presented in the literature were adopted.

ASSUNTO(S)

neoplasias do sistema nervoso processamento digital de imagens textura (avaliação) magnetic resonance image neoplasm of the nervous system texture (evaluation) imagem por ressonância magnética digital image processing

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