Visualization and processing of tensor fields : advances and perspectives
Author(s)
Bibliographic Information
Visualization and processing of tensor fields : advances and perspectives
(Mathematics and visualization)
Springer, c2009
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
Visualisation and Processing of Tensor Fields provides researchers an inspirational look at how to process and visualize complicated 2D and 3D images known as tensor fields. Tensor fields are the natural representation for many physical quantities; they can describe how water moves around in the brain, how gravity varies arount the earth, or how materials are stressed and deformed. With its numerous color figures, this book helps the reader understand both the underlying mathematics and the applications of tensor fields.
Table of Contents
Part I MODELS FOR DIFFUSION MRI
Modelling, Fitting and Sampling in Diffusion MRI - Daniel C Alexander
Tensors, Polynomials, and Models for Directional Data - P. G. Batchelor
A Mixture of Wisharts (MOW) Model for Multi-fiber Reconstruction - Bing Jian, Baba C. Vemuri, Evren Ozarslan
The Algebra of Fourth-Order Tensors with Application to Diffusion MRI - Maher Moakher
Part II HIGHER-LEVEL ANALYSIS OF DIFFUSION IMAGES Structure-Specific Statistical Mapping of White Matter Tracts - Paul A. Yushkevich, Hui Zhang, Tony J. Simon, James C. Gee
Analysis of distance/similarity measures for Diffusion Tensor Imaging - T.H.J.M. Peeters, P.R. Rodrigues, A. Vilanova, B.M. ter Haar Romeny
Part III TENSOR FIELD VISUALIZATION Tensor Glyph Warping - Visualizing Metric Tensor Fields using Riemannian Exponential Maps - Anders Brun, Hans Knutsson
Interactive Volume Rendering of Diffusion Tensor Data - Mario Hlawitschka, Gunther H. Weber, Alfred Anwander, Owen T. Carmichael, Bernd Hamann, Gerik Scheuermann
Dense Glyph Sampling for Visualization - Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth Joy
Part IV TENSOR FIELD ANALYSIS IN THE PHYSICAL SCIENCES The Role of Tensor Fields for Satellite Gravity Gradiometry - Michael Schreiner Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics - T.J. Jankun-Kelly, Song Zhang, A. C. Callan-Jones, Robert A. Pelcovits, V. A. Slavin, David H. Laidlaw
A Tensor Approach to Elastography Analysis and Visualization - D. Sosa-Cabrera1, M.A. Rodriguez-Florido, E. Suarez-Santana and Juan Ruiz-Alzola
Part V TENSOR IMAGE STRUCTURE MODELS A Higher-Order Structure Tensor - Thomas Schultz, Joachim Weickert, Hans-Peter Seidel
Monogenic Curvature Tensor as Image Model - Gerald Sommer, Lennart Wietzke and Di Zang
Part VI FILTERING WITH TENSORS A General Structure TensorConcept and Coherence-Enhancing Diffusion Filtering for Matrix Fields - Bernhard Burgeth, Stephan Didas, Joachim Weickert
Coordinates-based diffusion over the space of symmetric positive-definite matrices - Yaniv Gur and Nir Sochen
Variational methods for denoising matrix fields - S. Setzer, G. Steidl, B. Popilka, B. Burgeth
An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images - Johan Lie, Bernhard Burgeth, Oddvar Christiansen
by "Nielsen BookData"