Modeling, Analysis, and Visualization of Anisotropy
This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to MultivaluedData: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
ISBN: | 9783319870601 |
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Sprache: | Englisch |
Seitenzahl: | 407 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Hotz, Ingrid Schultz, Thomas Özarslan, Evren |
Verlag: | Springer International Publishing |
Veröffentlicht: | 30.08.2018 |
Schlagworte: | astrophysics diffusion-weithed imaging (DWI) higher-order image processing medical imaging spherical harmonics structural mechanics tensor tensor fields visualization |