Visualization and Processing of Tensor Fields
Matrix-valued data sets - so-called second order tensor fields - have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state-of-the-art in the visualizati...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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Σειρά: | Mathematics and Visualization,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- An Introduction to Tensors
- Feature Detection with Tensors
- Adaptive Structure Tensors and their Applications
- On the Concept of a Local Greyvalue Distribution and the Adaptive Estimation of a Structure Tensor
- Low-level Feature Detection Using the Boundary Tensor
- Diffusion Tensor Imaging
- An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond
- Random Noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections
- An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications
- Anatomy-Based Visualizations of Diffusion Tensor Images of Brain White Matter
- Variational Regularization of Multiple Diffusion Tensor Fields
- Higher Rank Tensors in Diffusion MRI
- Visualization of Tensor Fields
- Strategies for Direct Visualization of Second-Rank Tensor Fields
- Tensor Invariants and their Gradients
- Visualizing the Topology of Symmetric, Second-Order, Time-Varying Two-Dimensional Tensor Fields
- Degenerate 3D Tensors
- Locating Closed Hyperstreamlines in Second Order Tensor Fields
- Tensor Field Visualization Using a Metric Interpretation
- Tensor Field Transformations
- Symmetric Positive-Definite Matrices: From Geometry to Applications and Visualization
- Continuous Tensor Field Approximation of Diffusion Tensor MRI data
- Tensor Field Interpolation with PDEs
- Diffusion-Tensor Image Registration
- Image Processing Methods for Tensor Fields
- Tensor Median Filtering and M-Smoothing
- Mathematical Morphology on Tensor Data Using the Loewner Ordering
- A Local Structure Measure for Anisotropic Regularization of Tensor Fields
- Tensor Field Regularization using Normalized Convolution and Markov Random Fields in a Bayesian Framework
- PDEs for Tensor Image Processing.