A Viewer-dependent Tensor Field Visualization Using Multiresolution and Particle Tracing

@inproceedings{Filho2012AVT,
  title={A Viewer-dependent Tensor Field Visualization Using Multiresolution and Particle Tracing},
  author={Jos{\'e} Luiz Ribeiro de Souza Filho and Marcelo Caniato Renhe and Marcelo Bernardes Vieira and Gildo de Almeida Leonel},
  booktitle={ICCSA},
  year={2012}
}
This paper presents an adaptive method for visualization of tensor fields using multiresolution and viewer position and orientation. A particle tracing method is used in order to explore the benefits of motion to the human perceptual system. The particles are inserted and advected through the field based on a priority list which ranks tensors according to anisotropy measures and viewer parameters. Tensor fields representing colinear and coplanar structures are suitable for multiresolution… 
1 Citations
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References

SHOWING 1-10 OF 23 REFERENCES
A Viewer-Dependent Tensor Field Visualization Using Particle Tracing
TLDR
This paper proposes a particle-tracing strategy to let the observer understand the field singularities, and proposes a easy to compute, viewer-dependent, priority list representing the best locations in tensor field for creating new particles.
The application of GPU particle tracing to diffusion tensor field visualization
TLDR
The proposed methods provide efficient and intuitive means to show the dynamics in diffusion tensor fields, and they accommodate the exploration of the diffusion properties of biological tissue.
Visualization and Analysis of Diffusion Tensor Fields
TLDR
New methods for visualizing and analyzing the salient structure of diffusion tensor datasets and a mathematical framework for analyzing the derivatives of tensor values enables analytical shading in volume renderings, and a method of feature detection important for feature-preserving filtering of Tensor fields are described.
Tensorlines: advection-diffusion based propagation through diffusion tensor fields
TLDR
A novel feature extraction method which is based on incorporating information about the nearby orientation of the feature, as well as the anisotropic classification of the local tensor, which has the effect of stabilizing the tracking.
CUDA-Accelerated Geodesic Ray-Tracing for Fiber Tracking
TLDR
This paper presents a solution which uses the parallelism offered by modern GPUs, in combination with the CUDA platform by NVIDIA, to significantly reduce the execution time of the fiber-tracking algorithm.
Enhanced DTI Tracking with Adaptive Tensor Interpolation
A novel tensor interpolation method is introduced that allows Diffusion Tensor Imaging (DTI) streamlining to overcome low-anisotropy regions and permits branching of trajectories using information
A multi-resolution watershed-based approach for the segmentation of diffusion tensor images
TLDR
A new framework for the multi-resolution analysis of DTI, based on fast and greedy watersheds operating on a multi-scale representation of a DTI image, providing a novel hierarchical way to analyse DTI data allows a simple and interactive segmentation tool where different bundles can be segmented at di erent resolutions.
Visualization of second order tensor fields and matrix data
TLDR
The visualization of 3-D second- order tensor fields and matrix data is studied and the focus is on interactively sensing and exploring real and symmetric second-order tensor data by generalizing the vector notion of streamline to the tensor concept of hyperstreamline.
An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications
TLDR
This chapter surveys the different visualization techniques that have been developed for DTI and compares their main characteristics and drawbacks and discusses some of the many biomedical applications in which DTI helps extend the understanding or improve clinical procedures.
Visualizing second-order tensor fields with hyperstreamlines
A method developed to help scientists visualize 3D tensor data is presented. The method is based on the concept of a hyperstreamline, the simplest continuous tensor structure that can be extracted
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