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Modeling and optimal design of annular array based ultrasound pulse-echo systemWan, Li. January 2001 (has links)
Thesis (M.S.)--Worcester Polytechnic Institute. / Title from title screen. Keywords: optimal design; modeling; object identification; ultrasound pulse-echo system; annular array. Includes bibliographical references (p. 159-162).
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Contribuicao ao estudo de um metodo radiometrico de medida da distribuicao de diametros de gotas de oleo em suspensao em aguaSANCHEZ PODLECH, PABLO A. 09 October 2014 (has links)
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12906.pdf: 2806791 bytes, checksum: cf33f716fbe21d842ac323b7afe0d33d (MD5) / Dissertacao (Mestrado) / IEA/D / Escola Politecnica, Universidade de Sao Paulo - POLI/USP
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Implicit deformable models for biomedical image segmentationYeo, Si Yong January 2011 (has links)
In this thesis, new methods for the efficient segmentation of images are presented. The proposed methods are based on the deformable model approach, and can be used efficiently in the segmentation of complex geometries from various imaging modalities. A novel deformable model that is based on a geometrically induced external force field which can be conveniently generalized to arbitrary dimensions is presented. This external force field is based on hypothesized interactions between the relative geometries of the deformable model and the object boundary characterized by image gradient. The evolution of the deformable model is solved using the level set method so that topological changes are handled automatically. The relative geometrical configurations between the deformable model and the object boundaries contributes to a dynamic vector force field that changes accordingly as the deformable model evolves. The geometrically induced dynamic interaction force has been shown to greatly improve the deformable model performance in acquiring complex geometries and highly concave boundaries, and give the deformable model a high invariance in initialization configurations. The voxel interactions across the whole image domain provides a global view of the object boundary representation, giving the external force a long attraction range. The bidirectionality of the external force held allows the new deformable model to deal with arbitrary cross-boundary initializations, and facilitates the handling of weak edges and broken boundaries. In addition, it is shown that by enhancing the geometrical interaction field with a nonlocal edge-preserving algorithm, the new deformable model can effectively overcome image noise. A comparative study on the segmentation of various geometries with different topologies from both synthetic and real images is provided, and the proposed method is shown to achieve significant improvements against several existing techniques. A robust framework for the segmentation of vascular geometries is described. In particular, the framework consists of image denoising, optimal object edge representation, and segmentation using implicit deformable model. The image denoising is based on vessel enhancing diffusion which can be used to smooth out image noise and enhance the vessel structures. The image object boundaries are derived using an edge detection technique which can produce object edges of single pixel width. The image edge information is then used to derive the geometric interaction field for optimal object edge representation. The vascular geometries are segmented using an implict deformable model. A region constraint is added to the deformable model which allows it to easily get around calcified regions and propagate across the vessels to segment the structures efficiently. The presented framework is ai)plied in the accurate segmentation of carotid geometries from medical images. A new segmentation model with statistical shape prior using a variational approach is also presented in this thesis. The proposed model consists of an image attraction force that propagates contours towards image object boundaries, and a global shape force that attracts the model towards similar shapes in the statistical shape distribution. The image attraction force is derived from gradient vector interactions across the whole image domain, which makes the model more robust to image noise, weak edges and initializations. The statistical shape information is incorporated using kernel density estimation, which allows the shape prior model to handle arbitrary shape variations. It is shown that the proposed model with shape prior can be used to segment object shapes from images efficiently.
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Signal processing techniques for airborne laser bathymetryWong, Henry 11 July 2018 (has links)
Airborne laser bathymetry, a relatively new state-of-the-art technology for the mapping of sea
depth by using active airborne laser ranging systems, has proved successful for charting shallow waters
worldwide including Canada, Australia, and the United States. In order to improve the reliability and
efficiency of using airborne laser ranging systems, in particular, the Canadian LARSEN 500 airborne
system, for the estimation of sea depth, one- and two-dimensional (1-D and 2-D) signal processing
algorithms are developed. The processing involved is carried out in a two-phased approach. In phase
I, 1-D signal processing is explored. Specifically, 1-D digital smoothing is applied to the laser waveforms
for noise reduction. Results show that this process can remove noise while preserving the important
characteristics of the laser signal. In order to analyze the laser reflections quantitatively, a mathematical
model function that can be used to characterize the smoothed laser waveforms received by the LARSEN
500 under diverse circumstances is established. Two algorithms are also developed for the detection of
the peak of the laser pulse reflected from the sea surface and bottom. The algorithms have been
implemented and tested extensively with real-world LARSEN waveforms. Tests show that the algorithms
can reject noise pulses and pulses arising from turbid layers in the sea and locate the correct pulse in
the presence of varying degrees of noise.
In order to separate the surface and bottom reflections independently of the degree of their
overlap, a waveform-decomposition technique based on a robust optimization method is developed. An
initialization scheme is also developed in conjunction with the decomposition technique which can reduce
the amount of computation required in the decomposition quite significantly. Comparison resuits
obtained from statistical analysis show that the proposed technique offers considerable potential in
improving the depth estimates particularly when the resolution between the surface and bottom
reflections is low. In addition, it can be used to automate the depth estimation process.
In phase II, 2-D signal processing is used to improve the reconstruction of ocean topography from
individual depth estimates. A type of 2-D interpolating filter is introduced to suppress impulsive noise
present in the scattered measurements. It is found that as a result of the filtering, the representation of
the sea floor, which can be in the form of 2-D contour maps or 3-D surface plots, becomes a more
accurate representation of the ocean bottom.
To improve the accuracy in the reconstruction, a sophisticated triangle based 2-D interpolation
technique designed using the finite-element method is applied. To increase the reliability of the
reconstruction, optimal triangulated irregular networks are constructed before carrying out the
interpolation. In order to assess the accuracy of the decomposition results when the resolution between
the laser reflections is very low, a procedure which incorporates the 2-D interpolation technique is
developed.
To further enhance the reconstructed profiles, an adaptive 2-D filtering procedure is introduced.
This procedure is developed using 2-D power spectral analysis of the depth profiles. In areas where the
signal characteristics of the bathymetric data vary rapidly, 2-D filtering based on minimum mean-squared
error estimation is explored. It is shown that the derived filter is a 2-D space-variant filter and
its application to bathymetric profiles collected by the LARSEN 500 system is also implemented. Results
obtained show that these two filtering procedures are useful in reducing random noise inherent in the
reconstructed profiles which is difficult to detect and eliminate in 1-D processing. / Graduate
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Metodologia das determinacoes da velocidade, direcao e sentido do fluxo da agua subterranea, com utilizacao de tracadores radioativosAOKI, PEDRO E. 09 October 2014 (has links)
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Determinacao de formas quimicas do enxofre-35 obtido pela reacao CL-35(n,p)S-35ROSSI FILHO, SERGIO 09 October 2014 (has links)
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Padronizacao e aplicacao clinica do radioimunoensaio de somatomedina B serica humana .Desenvolvimento do metodo de radioiodacao enzimaticaGOMES, ELSIE N.D. da S. 09 October 2014 (has links)
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Contribuicao ao estudo de um metodo radiometrico de medida da distribuicao de diametros de gotas de oleo em suspensao em aguaSANCHEZ PODLECH, PABLO A. 09 October 2014 (has links)
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Metodologia das determinacoes da velocidade, direcao e sentido do fluxo da agua subterranea, com utilizacao de tracadores radioativosAOKI, PEDRO E. 09 October 2014 (has links)
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Determinacao de formas quimicas do enxofre-35 obtido pela reacao CL-35(n,p)S-35ROSSI FILHO, SERGIO 09 October 2014 (has links)
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