Reconstrução de imagens de ultrassom através de problemas inversos usando processamento paralelo em GPUs

• Ano de defesa: 2018
• Autor(a) principal: Bueno, Paulo Roberto
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Brasil; Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial; UTFPR
• Palavras-chave em Português: Ultrassom; Exames médicos - Imagem; Sistemas imageadores - Qualidade da imagem; Problemas inversos (Equações diferenciais); Processamento paralelo (Computadores); Algorítmos paralelos; Métodos iterativos (Matemática); Engenharia elétrica; Ultrasonics; Medical examinations - Imaging; Imaging systems - Image quality; Inverse problems (Differential equations); Parallel processing (Electronic computer); Parallel algorithms; Iterative methods (Mathematics); Electric engineering; CNPQ::ENGENHARIAS::ENGENHARIA BIOMEDICA; Engenharia Elétrica
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/3787

This project aims to improve the ultrasound image reconstruction methods based on inverse problems for parallel implementation on GPU. These methods are recent innovations for ultrasound and have demonstrated to achieve better image quality upon conventional reconstructions such as, beamforming and delay-and-sum. However, the computing time of these algorithms are still high, not allowing reconstructions in real-time, which is an already established demand in ultrasound. For this, we have modified the algorithms for parallel execution on graphics processing units (GPU). These processors have a very high processing power, much larger than a CPU. But the algorithms can take advantage of this benefit only if they are parallel or parallelizable. The modified algorithms are parallel and can be executed on GPU. However, they require a large amount of memory to store the system matrix. This fact limits the maximum image resolution that can be obtained by reconstruction on the GPU. This work uses a new and alternative way to reconstruct images through the exploitation of the symmetry of the point spread function, halving the memory size required by the system matrix. Thus, it is possible to reconstruct an ultrasound image with better quality then the current images, and virtually at the same time.