7 resultados para MAMMOGRAPHY


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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Biomédica

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

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Dissertation presented at Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa to obtain a Master Degree in Biomedical Engineering

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Breast cancer is the most common cancer among women, being a major public health problem. Worldwide, X-ray mammography is the current gold-standard for medical imaging of breast cancer. However, it has associated some well-known limitations. The false-negative rates, up to 66% in symptomatic women, and the false-positive rates, up to 60%, are a continued source of concern and debate. These drawbacks prompt the development of other imaging techniques for breast cancer detection, in which Digital Breast Tomosynthesis (DBT) is included. DBT is a 3D radiographic technique that reduces the obscuring effect of tissue overlap and appears to address both issues of false-negative and false-positive rates. The 3D images in DBT are only achieved through image reconstruction methods. These methods play an important role in a clinical setting since there is a need to implement a reconstruction process that is both accurate and fast. This dissertation deals with the optimization of iterative algorithms, with parallel computing through an implementation on Graphics Processing Units (GPUs) to make the 3D reconstruction faster using Compute Unified Device Architecture (CUDA). Iterative algorithms have shown to produce the highest quality DBT images, but since they are computationally intensive, their clinical use is currently rejected. These algorithms have the potential to reduce patient dose in DBT scans. A method of integrating CUDA in Interactive Data Language (IDL) is proposed in order to accelerate the DBT image reconstructions. This method has never been attempted before for DBT. In this work the system matrix calculation, the most computationally expensive part of iterative algorithms, is accelerated. A speedup of 1.6 is achieved proving the fact that GPUs can accelerate the IDL implementation.

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Breast cancer is the most common type of cancer worldwide. The effectiveness of its treatment depends on early stage detection, as well as on the accuracy of its diagnosis. Recently, diagnosis techniques have been submitted to relevant breakthroughs with the upcoming of Magnetic Resonance Imaging, Ultrasound Sonograms and Positron Emission Tomography (PET) scans, among others. The work presented here is focused on studying the application of a PET system to a Positron Emission Mammography (PEM) system. A PET/PEM system works under the principle that a scintillating crystal will detect a gamma-ray pulse, originated at the cancerous cells, converting it into a correspondent visible light pulse. The latter must then be converted into an electrical current pulse by means of a Photo- -Sensitive Device (PSD). After the PSD there must be a Transimpedance Amplifier (TIA) in order to convert the current pulse into a suitable output voltage, in a time period lower than 40 ns. In this Thesis, the PSD considered is a Silicon Photo-Multiplier (SiPM). The usage of this recently developed type of PSD is impracticable with the conventional TIA topologies, as it will be proven. Therefore, the usage of the Regulated Common-Gate (RCG) topology will be studied in the design of the amplifier. There will be also presented two RCG variations, comprising a noise response improvement and differential operation of the circuit. The mentioned topology will also be tested in a Radio-Frequency front-end, showing the versatility of the RCG. A study comprising a low-voltage self-biasing feedback TIA will also be shown. The proposed circuits will be simulated with standard CMOS technology (UMC 130 nm), using a 1.2 V power supply. A power consumption of 0.34 mW with a signal-to-noise ratio of 43 dB was achieved.

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RESUMO - Introdução: O cancro da mama é uma das principais causas de mortalidade por doença oncológica. O rastreio contribui para o aumento da sobrevivência, mas apresenta riscos como a obtenção de um resultado falso positivo com efeitos controversos sobre a participação subsequente. Métodos: Realizou-se um estudo de coorte histórico (2006-2012) de 170.835 mulheres com 45-67 anos, elegíveis para o programa de rastreio do cancro da mama da ARSC,IP. Calcularam-se as medidas de efeito de um falso positivo da leitura na não participação na volta consecutiva de rastreio do cancro da mama, e a associação entre o evento em estudo e factores sociodemográficos, relacionados com o rastreio e com a anamnese, através de análise de regressão de Poisson. Resultados: A incidência de não participação foi 12,13%. A exposição a falso positivo da leitura aumentou 8,01% o risco absoluto de não participação. O falso positivo da leitura da mamografia revelou-se um factor de risco para a não participação (RRa=1,17; IC 1,10-1,25). O efeito protector da existência de participações anteriores foi superior ao efeito dos factores de risco identificados. Identificaram-se outros factores de risco e de protecção. Discussão: De acordo com os factores de risco e de protecção identificados recomendaram-se alterações à operacionalização do programa de rastreio, a manutenção das estatégias adequadas e a realização de estudos futuros para avaliar o efeito de outros factores não incluídos neste estudo. A comunicação do risco associado a um resultado anormal da mamografia é importante para diminuir a ansiedade consequente ao rastreio, devendo ser oferecidas intervenções que promovam a participação no rastreio.