Visualization and Processing of Tensor Fields

Table of Contents

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   Book Overview
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   Chapter 1 An Introduction to Tensors
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   Chapter 2 Adaptive Structure Tensors and their Applications
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   Chapter 3 On the Concept of a Local Greyvalue Distribution and the Adaptive Estimation of a Structure Tensor
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   Chapter 4 Low-level Feature Detection Using the Boundary Tensor
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   Chapter 5 An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond
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   Chapter 6 Random Noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections
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   Chapter 7 An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications
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   Chapter 8 Anatomy-Based Visualizations of Diffusion Tensor Images of Brain White Matter
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    Chapter 9 Variational Regularization of Multiple Diffusion Tensor Fields
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    Chapter 10 Higher Rank Tensors in Diffusion MRI
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    Chapter 11 Strategies for Direct Visualization of Second-Rank Tensor Fields
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    Chapter 12 Tensor Invariants and their Gradients
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    Chapter 13 Visualizing the Topology of Symmetric, Second-Order, Time-Varying Two-Dimensional Tensor Fields
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    Chapter 14 Degenerate 3D Tensors
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    Chapter 15 Locating Closed Hyperstreamlines in Second Order Tensor Fields
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    Chapter 16 Tensor Field Visualization Using a Metric Interpretation
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    Chapter 17 Symmetric Positive-Definite Matrices: From Geometry to Applications and Visualization
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    Chapter 18 Continuous Tensor Field Approximation of Diffusion Tensor MRI data
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    Chapter 19 Tensor Field Interpolation with PDEs
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    Chapter 20 Diffusion-Tensor Image Registration
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    Chapter 21 Tensor Median Filtering and M-Smoothing
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    Chapter 22 Mathematical Morphology on Tensor Data Using the Loewner Ordering
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    Chapter 23 A Local Structure Measure for Anisotropic Regularization of Tensor Fields
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    Chapter 24 Tensor Field Regularization using Normalized Convolution and Markov Random Fields in a Bayesian Framework
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    Chapter 25 PDEs for Tensor Image Processing