Currently available methods for managing glaucoma, e.g. the planimetry on stereo disc photographs, involve a subjective component either by the patient or examiner. In addition, a few structures may overlap together on the essential 2-D images, which can decrease reproducibility. Spectral domain optical coherence tomography (SD-OCT) provides a 3-D, cross-sectional, microscale depiction of biological tissues. Given the wealth of volumetric information at microscale resolution available with SD-OCT, it is likely that better parameters can be obtained for measuring glaucoma changes that move beyond what is possible using fundus photography etc. The neural canal opening (NCO) is a 3-D single anatomic structure in SD-OCT volumes. It is proposed as a basis for a stable reference plane from which various optic nerve morphometric parameters can be derived. The overall aim of this Ph.D. project is to develop a framework to segment the 3-D NCO and its related structure retinal vessels using information from SD-OCT volumes and/or fundus photographs to aid the management of glaucoma changes. Based on the mutual positional relationship of the NCO and vessels, a multimodal 3-D scale-learning-based framework is developed to iteratively identify them in SD-OCT volumes by incorporating each other's pre-identified positional information. The algorithm first applies a 3-D wavelet-transform-learning-based layer segmentation and pre-segments the NCO using graph search. To aid a better NCO detection, the vessels are identified either using a SD-OCT segmentation approach incorporating the presegmented NCO positional information to the vessel classification or a multimodal approach combining the complementary features from SD-OCT volumes and fundus photographs (or a registered-fundus approach based on the original fundus vessel segmentation). The obtained vessel positional information is then used to help enhance the NCO segmentation by incorporating that to the cost function of graph search. Note that the 3-D wavelet transform via lifting scheme has been used to remove high frequency noises and extract texture properties in SD-OCT volumes etc. The graph search has been used for finding the optimal solution of 3-D multiple surfaces using edge and additionally regional information. In this work, the use of the 3-D wavelet-transform-learning-based cost function for the graph search is a further extension of the 3-D wavelet transform and graph search. The major contributions of this work include: 1) extending the 3-D graph theoretic segmentation to the use of 3-D scale-learning-based cost function, 2) developing a graph theoretic approach for segmenting the NCO in SD-OCT volumes, 3) developing a 3-D wavelet-transform-learning-based graph theoretic approach for segmenting the NCO in SD-OCT volumes by iteratively utilizing the pre-identified NCO and vessel positional information (from 4 or 5), 4) developing a vessel classification approach in SD-OCT volumes by incorporating the pre-segmented NCO positional information to the vessel classification to suppress the NCO false positives, and 5) developing a multimodal concurrent classification and a registered-fundus approach for better identifying vessels in SD-OCT volumes using additional fundus information.

Method of Moments (MoM)/Green&rsquo / s function formulation is developed for the analysis of electromagnetic radiation from planar rectangular microstrip antennas with different feeding techniques. Investigated structures are microstrip line fed patch antenna, proximity coupled patch antenna and slot coupled patch antenna. For all these structures equivalent problems are defined. Then, integral equations where currents are the unknowns are obtained from boundary conditions and by using spectral domain representation of Green&rsquo / s functions. Finally, MoM is applied to convert these integral equations to a system of linear equations. Currents on the conducting surfaces as well as equivalent magnetic currents on the apertures are modeled as a sum of piecewise sinusoidal subdomain basis functions with unknown coefficients which are calculated by solving the system of linear equations. Based on the formulations provided in this study, a Fortran code is developed. Numerical results calculated by using the code are presented in the form of patch and line currents and input impedances. Presented results are in good agreement with the results given in the literature.

Submitted by WENDERSON NASCIMENTO LOPES (wendersonmanin@gmail.com) on 2018-06-28T19:19:09Z No. of bitstreams: 1 Dissertação_Mestrado_Wenderson_v1.8.pdf: 5519001 bytes, checksum: dd9e99dad5016a1e93e611390d52f0f7 (MD5) / Approved for entry into archive by Lucilene Cordeiro da Silva Messias null (lubiblio@bauru.unesp.br) on 2018-06-29T14:22:01Z (GMT) No. of bitstreams: 1 lopes_wn_me_bauru.pdf: 5538361 bytes, checksum: 642a6ec7656c00d9871f41bf870fd5f9 (MD5) / Made available in DSpace on 2018-06-29T14:22:01Z (GMT). No. of bitstreams: 1 lopes_wn_me_bauru.pdf: 5538361 bytes, checksum: 642a6ec7656c00d9871f41bf870fd5f9 (MD5) Previous issue date: 2018-05-23 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / A dressagem é uma operação muito importante para o processo de retificação. O objetivo desta é recondicionar o rebolo para restabelecer suas características de corte perdidas devido ao desgaste produzido após sucessivos passes. Sistemas de monitoramento que utilizam emissão acústica (EA) têm sido propostos para correlacionar os sinais com diversas condições da ferramenta. Este estudo traz uma nova abordagem de processamento de sinais de EA com o objetivo de identificar o momento correto para finalizar a dressagem, o que é essencial em um sistema de controle automático. A partir dos sinais de EA, coletados em testes de dressagem de rebolo de óxido de alumínio com dressador de ponta única, a análise espectral foi realizada por meio da Densidade Espectral de Potência (PSD, Power Spectral Density), selecionando-se bandas de frequências que melhor caracterizam o processo. O parâmetro estatístico "counts" foi aplicado ao sinal original não filtrado e filtrado nas bandas selecionadas para identificar a condição da ferramenta e, por sua vez, para a implementação de um sistema de monitoramento. Os resultados mostraram uma relação expressiva entre as condições de corte da ferramenta e os sinais processados nas bandas selecionadas. Houve uma grande diferença dos sinais filtrados nas bandas selecionadas e sinais não filtrados, refletindo que os filtrados foram mais eficientes em termos de automação de processos. / Dressing is an important operation for the grinding process. Its goal is to recondition the wheel tool to re-establish its cutting characteristics, owing to the wear produced after successive passes. Monitoring systems that use acoustic emission (AE) have been studied to correlate the signals with several tool conditions. This study brings a new approach of processing AE signals with the purpose of identifying the correct moment to stop the dressing, which is essential in an automatic control system. From the AE signals collected in dressing tests with aluminium oxide grinding wheel and single-point dresser, spectral analysis was made through power spectral density, selecting frequencies bands that best characterize the process. The statistical parameter ‘counts’ was applied to the raw signal unfiltered and filtered in the selected bands in order to identify the tool condition and, in turn, towards a monitoring system implementation. Results showed an expressive relation between tool cutting conditions and processed signals in the selected bands. There was a great disparity of the filtered signals in the selected bands and signals unfiltered, reflecting that the filtered ones were more efficient in terms of process automation.

No description available.

In dental research, the morphometric assessment of restorations is a challenge. This also applies to the assessment of the length of interfacial adhesive defects in composite restorations as a measure of tooth-restoration bond failure. The determined mean fractions of interfacial gap length on enamel and dentin interfaces deviate from the true means (N → ∞), depending on the number (Ni) of object layers assessed. Cervical composite restorations were imaged with spectral domain optical coherence tomography (SD-OCT). The mean fractions of interfacial gap length on enamel and dentin were determined for an increasing number of OCT cross-sectional images (B-scans) per restoration and were graphically displayed as a function of the number of B-scans. As the number of B-scans increased, the calculated object means approached a range of ±2.5%. This analysis is appropriate for displaying the relationship between the determined mean fraction of interfacial gap length at the enamel/dentin-restoration interface and the number of B-scans.

No description available.

Made available in DSpace on 2014-12-17T14:55:55Z (GMT). No. of bitstreams: 1 TercioLS_DISSERT.pdf: 2173183 bytes, checksum: 0473c9e56e2e2ec2462372a52af84fd3 (MD5) Previous issue date: 2011-12-21 / This work presents a theoretical analysis and numerical and experimental results of the scattering characteristics of frequency selective surfaces, using elements of type patch perfectly conductor. The structures are composed of two frequency selective surfaces on isotropic dielectric substrates cascaded, separated by a layer of air. The analysis is performed using the method of equivalent transmission line in combination with the Galerkin method, to determine the transmission and reflection characteristics of the structures analyzed. Specifically, the analysis uses the impedance method, which models the structure by an equivalent circuit, and applies the theory of transmission lines to determine the dyadic Green's function for the cascade structure. This function relates the incident field and surface current densities. These fields are determined algebraically by means of potential incidents and the imposition of the continuity of the fields in the dielectric interfaces. The Galerkin method is applied to the numerical determination of the unknown weight coefficients and hence the unknown densities of surface currents, which are expanded in terms of known basis functions multiplied by these weight coefficients. From the determination of these functions, it becomes possible to obtain numerical scattered fields at the top and bottom of the structures and characteristics of transmission and reflection of these structures. At work, we present numerical and experimental results for the characteristics of transmission and reflection. Comparisons were made with other results presented in literature, and it was observed a good agreement in the cases presented suggestions continuity of the work are presented / Esse trabalho apresenta uma an?lise te?rica e resultados num?ricos e experimentais das caracter?sticas de espalhamento de superf?cies seletivas em frequ?ncia, que usam elementos do tipo patch perfeitamente condutor. As estruturas s?o compostas por duas superf?cies seletivas em frequ?ncia sobre substratos diel?tricos isotr?picos cascateadas, separadas por uma camada de ar. A an?lise ? efetuada utilizando-se o m?todo da linha de transmiss?o equivalente em combina??o com o m?todo de Galerkin, visando determinar as caracter?sticas de transmiss?o e reflex?o das estruturas analisadas. Especificamente, a an?lise usa o m?todo da imped?ncia, que modela a estrutura por meio de um circuito equivalente e, aplica-se a teoria de linhas de transmiss?o para determinar a fun??o di?dica de Green, para a estrutura em cascata. Esta fun??o relaciona os campos incidentes e as densidades superficiais de corrente. Estes campos s?o determinados algebricamente por meio dos potenciais incidentes e da imposi??o da continuidade dos campos nas interfaces diel?tricas. O m?todo de Galerkin ? aplicado na determina??o num?rica dos coeficientes pesos desconhecidos e, consequentemente, das densidades superficiais de correntes desconhecidas, que s?o expandidas em termos de fun??es de base conhecidas multiplicadas por esses coeficientes peso. A partir da determina??o destas fun??es, torna-se poss?vel a obten??o num?rica dos campos espalhados no topo e na base das estruturas e das caracter?sticas de transmiss?o e de reflex?o destas estruturas. No trabalho, s?o apresentados resultados num?ricos e experimentais para as caracter?sticas de transmiss?o e de reflex?o. Foram efetuadas compara??es com outros resultados apresentados na literatura, tendo-se observado uma boa concord?ncia nos casos analisados Sugest?es de continuidade do trabalho s?o apresentadas

Purpose: The aim of this study was to investigate differences in the nerve fiber layer and glaucoma-induced structural optic nerve head (ONH) damage in patients with normal- (NTG) and high-tension (HTG) glaucoma. Methods: In this retrospective pair-matched comparative study, 22 NTG and 22 HTG eyes were matched according to the same glaucomatous damage based on rim volume, rim area and disk size, as measured by Heidelberg retinal tomography (HRT III). Visual fields (VF) were assessed by Humphrey perimetry, and nerve fiber layer thickness was determined both by scanning laser polarimetry (GDxVCC) and spectral-domain optical coherence tomography (SD-OCT). Comparisons of all measured parameters were made between NTG and HTG groups. Results: Based on HRT results, both NTG and HTG eyes displayed comparable structural damage to the ONH (NTG/HTG, mean: disk area, 2.30/2.31 mm 2 , p = 0.942; rim area, 1.02/0.86 mm 2 , p = 0.082; rim volume, 0.19/0.17 mm 3 , p = 0.398). NTG eyes had significantly less VF damage than HTG eyes (NTG/HTG, mean deviation: –4.23/–12.12 dB, p = 0.002; pattern standard deviation: 5.39/8.23 dB, p = 0.022). The inferior nerve fiber layer of NTG patients was significantly thicker than that of HTG patients (NTG/HTG, mean: GDx inferior: 53.5/46.3 μm, p = 0.046). SD-OCT revealed a significantly thicker nerve fiber in NTG compared with HTG patients in all quadrants (NTG/HTG, total mean: 72.72/58.45 μm, p = 0.002). Conclusion: At comparable glaucomatous stages, nerve fiber loss was more advanced in HTG patients compared with NTG patients.