Eliminação de ruídos em imagens de ultrassonografia via métodos variacionais

• Ano de defesa: 2013
• Autor(a) principal: Rezende, Luciana do Espírito Santo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Ciência da Computação; Ciências Exatas e da Terra; UFU
• Palavras-chave em Português: Eliminação de ruído; Ruído speckle; Imagens de ultrassonografia; Métodos variacionais; Ultrassonografia; Processamento de imagens; Noise elimination; Speckle noise; Ultrasound images; Variational methods; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/12574

Medical ultrasound is one of the most used tools for obtaining diagnostic, being a noninvasive technique, with high efficiency, low cost and real-time visualization. But these images are usually contaminated with a type of multiplicative noise known as speckle noise. This noise superimposed on the image granules that distorts and complicates the analysis of the diagnosis. Despite the removal of multiplicative noises has not been studied so extensively as the elimination of additive noise, there are some works that propose solutions to eliminate this type of noise, including works using variational methods. The variational methods have a smoothing term and a fidelity term, which are responsible for smoothing and preserving image characteristics, respectively. Typically, a balance is made between these two terms that will be used for all pixels in the image. This report will propose a variational method in order to reduce speckle noise in ultrasound images. The differential of the proposed method over other methods is the inclusion of a function in order to detect the locations of pixels with high noise level and pixels containing edges, ie, important features of the image that should be preserved. The function will adjust the fidelity and smoothing of the functional, so that this balance causes smoothing to be more severe in very noisy pixels and fidelity is more intense at the image edges.