Ketan M.

Learn about challenges in deploying medical imaging advanced visualization in enterprise data-centers and the impacts of virtualization. This talk will discuss and dispel some myths about virtualization with GPUs. The talk will also cover key challenges of designing scalable rendering architecture that can support tens to hundreds of users, focusing on system and architecture challenges along with software design concerns that need to be addressed. Active participation and sharing of… Show more

Learn about challenges in deploying medical imaging advanced visualization in enterprise data-centers and the impacts of virtualization. This talk will discuss and dispel some myths about virtualization with GPUs. The talk will also cover key challenges of designing scalable rendering architecture that can support tens to hundreds of users, focusing on system and architecture challenges along with software design concerns that need to be addressed. Active participation and sharing of experiences from the audience is welcome and encouraged. Show less

Visualization and exploration of nematic liquid crystal (NLC) data is a challenging task due to the multidimensional and multivariate nature of the data. Simulation study of an NLC consists of multiple timesteps, where each timestep computes scalar, vector, and tensor parameters on a geometrical mesh. Scientists developing an understanding of liquid crystal interaction and physics require tools and techniques for effective exploration, visualization, and analysis of these data sets… Show more

Visualization and exploration of nematic liquid crystal (NLC) data is a challenging task due to the multidimensional and multivariate nature of the data. Simulation study of an NLC consists of multiple timesteps, where each timestep computes scalar, vector, and tensor parameters on a geometrical mesh. Scientists developing an understanding of liquid crystal interaction and physics require tools and techniques for effective exploration, visualization, and analysis of these data sets. Traditionally, scientists have used a combination of different tools and techniques like 2D plots, histograms, cut views, etc. for data visualization and analysis. However, such an environment does not provide the required insight into NLC datasets.

This thesis addresses two areas of the study of NLC data---understanding of the tensor order field (the Q-tensor) and defect detection in this field. Tensor field understanding is enhanced by using a new glyph (NLCGlyph) based on a new design metric which is closely related to the underlying physical properties of an NLC, described using the Q-tensor. A new defect detection algorithm for 3D unstructured grids based on the orientation change of the director is developed. This method has been used successfully in detecting defects for both structured and unstructured models with varying grid complexity.

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A method for the semi-automatic detection and visualization of defects in models of nematic liquid crystals (NLCs) is introduced; this method is suitable for unstructured models, a previously unsolved problem. The detected defects---also known as \emph{disclinations}---are regions were the alignment of the liquid crystal rapidly changes over space; these defects play a large role in the physical behavior of the NLC substrate. Defect detection is based upon a measure of total angular change of… Show more

A method for the semi-automatic detection and visualization of defects in models of nematic liquid crystals (NLCs) is introduced; this method is suitable for unstructured models, a previously unsolved problem. The detected defects---also known as \emph{disclinations}---are regions were the alignment of the liquid crystal rapidly changes over space; these defects play a large role in the physical behavior of the NLC substrate. Defect detection is based upon a measure of total angular change of crystal orientation (the \emph{director}) over a node neighborhood via the use of a nearest neighbor path. Visualizations based upon the detection algorithm clearly identifies complete defect regions as opposed to incomplete visual descriptions provided by cutting-plane and isosurface approaches. The introduced techniques are currently in use by scientists studying the dynamics of defect change. Show less

A glyph-based method for visualizing the nematic liquid crystal alignment tensor is introduced. Unlike previous approaches, the glyph is based upon physically-linked metrics, not offsets of the eigenvalues. These metrics, combined with a set of superellipsoid shapes, communicate both the strength of the crystal’s uniaxial alignment and the amount of biaxiality. With small modifications, our approach can visualize any real symmetric traceless tensor.

Poster:
Visualization of temporal and spatial tensor data is a challenging task due to the large amount of multi-dimensional data. In most of the visualization, scientists are interested in finding certain defects, anomalies, or correlations while exploring data. Hence, visualization requires efficient exploration and representation techniques. In order to use the nematic liquid crystal (NLC) as a biosensor, scientists need to study and explore simulations for understanding the relationship… Show more

Poster:
Visualization of temporal and spatial tensor data is a challenging task due to the large amount of multi-dimensional data. In most of the visualization, scientists are interested in finding certain defects, anomalies, or correlations while exploring data. Hence, visualization requires efficient exploration and representation techniques. In order to use the nematic liquid crystal (NLC) as a biosensor, scientists need to study and explore simulations for understanding the relationship between topological defects and the biological specimen. Show less

Publication on the RWE data of the MyDoseCoach.