Geração de funções de transferência para a visualização científica utilizando atributos topológicos

Abstract

The three dimensional visualization of data from Computed Tomography scans has aided medical diagnosis. The most used approach is the direct volume rendering, due to the natural representation of such datasets and the simplicity of interpretation of the results. One of the factors that directly impact on the visual results is the transfer function used to map the intensity values to visual properties, such as color and opacity. Therefore, to optimize the visualization process, it would be useful to, automatically or semiautomatically, generate the appropriate transfer functions according to the user’s visualization goals. This work proposes a way to generate such transfer functions by using topological parameters in a contour tree, coupled with an opacity flow model modelled by the Darcy’s law for flow on porous medium.