158 resultados para Processamento de imagens médica
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência e Tecnologia de Materiais - FC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciências Cartográficas - FCT
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Pós-graduação em Ciências Cartográficas - FCT
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Pós-graduação em Ciência e Tecnologia de Materiais - FC
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Pós-graduação em Ciência e Tecnologia de Materiais - FC
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A novel AC Biosusceptometry (ACB) system with thirteen sensors it was implemented and characterized in vitro using magnetic phantoms. The system presenting coils in a coaxial arrangement with one pair of excitation coil outside and thirteen pairs of detection coils inside. A first-order gradiometric configuration was utilized for optimal detection of magnetic signals. Several physical parameters such as baseline, number of turns, excitation field and diameters were studied for improvement of the signal/noise ratio. This system exhibits an enhanced sensitivity and spatial resolution, due to the higher density of sensors/area. In the future those characteristics will turn possible to obtain images of magnetic marker or tracer in the gastrointestinal tract focusing on physiological and pharmaceutical studies. ACB emerged due to its interesting nature, noninvasiveness and low cost to investigate gastrointestinal parameters and this system can contribute for more accurate interpretation of biomedical signals and images
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There are many advantages when using a phantom for the evaluation of the mammographic images, one of them is to test the visibility of the distribution of objects that constitute it, and then, set the best image in order to obtain a diagnostic medical insurance, trying to reach the best risk - benefit ratio for the patient. Typically, the quality of the mammographic image is performed by subjective and quantitative assessments. This study developed algorithms that can quantitatively evaluate digital images (DICOM), obtained from mammographic phantom consisting of test objects. The results were adjusted by the response of the subjective evaluation performed by experts in radiology. This procedure aims to create an independence of the experts in radiology in daily tests of quality control in routine clinical diagnostic radiology
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The comet assay is a method of DNA damage analysis widely used to quantify oxidative damage, crosslinks of DNA, apoptosis and genotoxicity of chemicals substances as chemical, pharmaceuticals, agrochemicals products, among others. This technique is suitable to detect DNA strand breaks, alkali-labile sites and incomplete excision repair sites and is based on the migration of DNA fragments by microeletroforesis, DNA migrates for the anode forming a “tail”, and the formed image has the appearance of a comet. The slides can be stained with fluorescence or silver, having differences in the microscopy type used for the analysis and the possibility of storage of the slides, moreover, the first one is a stained-method with more difficulties of accomplishment. The image analysis can be performed by a visual way, however, there is a disadvantage as the subjectivity on the results, that can be minimized by an automated method of digital analysis. This process was studied in this report with the aim to perceive the validation of the digital analysis turning it a quantitative method with larger reproductibility, minimizing the variability and imprecision due to the subjective analysis. For this validation we selected 50 comets photographed in a standardized way and printed, afterwards, pictures were submitted to three experienced appraisers, who quantified them manually. Later, the images were processed by free software ImageJ 1.38x, printed and quantified manually by the same appraisers. The intraclass correlation was higher to comet measures after image processing. Following, an algorithm of automated digital analysis from the measures of the comet was developed; the values obtained were compared with those 12 estimated manually after the processing resulting high correlation among the measures. The use of image analysis systems increases ...(Complete abstract click electronic access below)
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AC Biosusceptometry (ACB) is a low-cost biomagnetic tool that has been successfully applied on pharmaceutical research to evaluate performance of solid dosage forms. The aim of this work was to evaluate the Horn & Shunck method to access tablet disintegration. To evaluate the HS results was record on video a test with a objet moving in a rail with a constant velocity. The desintegration was recorded on video and ACB, which used have seven pairs of detection coils and a pair of excitation coils to mensure the magnetic ux variation. The signals were ampli ed and digitalized to create images, which were restored by Wiener lter, while the video images are converted to gray scale, both are normalized and binarized and had the optical ow estimation calculated by Horn & Schunck (HS) algorithm. All signals and images are processed and developed algorithm on Matlab. During the tests the ve tablets (500mg ferrite, 375mg excipients, compression 10 to 50 kN) were on a becker between of the ACB system and of the video system, and only touching the surface of the water. With all OF maps calculated was realized the sum of the resultants of each, to get a disintegration process resultant for each compression. Whit that was possible observed the disintegration behaves. For the compression force study the HS components of each sequence was sum, take mean and normalized for sequence's max modulo, therefore can be observed a high growing on less compression tablets. We can conclude the HS algorithm is viable to tablets disintegration data collection and whit that was possible to create a tablets disintegration analyzes protocol, which would be useful on desintegration kinetics study
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The implementation of an Export and Processing Zone (ZEPs) brings several benefits to the local, state and federal economy, but often, only socioeconomic factors are considered, apart from several other factors that should be analyzed, such as the environment. In this context of industrialization and the struggle for sustainable development, this work propose to incorporate the environmental variable in the decision process for establishing industrial areas, in particular, the ZPE in the city of Fernandópolis, São Paulo state, Brazil, by examining several physical and environmental factors such as slope intervals, geological features, pedological factors and land use. Developed using a multicriteria analysis, a model has been elaborated, where these factors have received a proportional value according with their importance, supported by a GIS tool (Geographical Information System) and remote sensing products, such as images from CBERS satellite and SRTM radar, showing the suited areas for industrial activities, considering environmental conditions. This model may assist to take better decision about the ZPE implementation area and to reduce the negative environmental impacts that would result of poorly planned locations