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Visualization and Processing of Tensor Fields: Advances and Perspectives: Mathematics and Visualization

Editat de David H. Laidlaw, Joachim Weickert
en Limba Engleză Hardback – 9 mar 2009

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Specificații

ISBN-13: 9783540883777
ISBN-10: 3540883770
Pagini: 396
Ilustrații: XVII, 376 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.79 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Mathematics and Visualization

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Models for Diffusion MRI.- Modelling, Fitting and Sampling in Diffusion MRI.- Tensors, Polynomials and Models for Directional Data.- A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction.- The Algebra of Fourth-Order Tensors with Application to Diffusion MRI.- Higher-Level Analysis of Diffusion Images.- Structure-Specific Statistical Mapping of White Matter Tracts.- Analysis of Distance/Similarity Measures for Diffusion Tensor Imaging.- Tensor Field Visualization.- Tensor Glyph Warping: Visualizing Metric Tensor Fields using Riemannian Exponential Maps.- Interactive Volume Rendering of Diffusion Tensor Data.- Dense Glyph Sampling for Visualization.- Tensor Field Analysis in the Physical Sciences.- The Role of Tensor Fields for Satellite Gravity Gradiometry.- Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics.- A Tensor Approach to Elastography Analysis and Visualization.- Tensor Image Structure Models.- A Higher-Order Structure Tensor.- Monogenic Curvature Tensor as Image Model.- Filtering with Tensors.- A General Structure Tensor Concept and Coherence-Enhancing Diffusion Filtering for Matrix Fields.- Coordinates-Based Diffusion Over the Space of Symmetric Positive-Definite Matrices.- Variational Methods for Denoising Matrix Fields.- An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images.

Caracteristici

Major workshop in core field of visualization Includes supplementary material: sn.pub/extras