Modeling, analysis, and visualization of anisotropy / Thomas Schultz, Evren Özarslan, Ingrid Hotz, editors.
Schultz, Thomas.; Özarslan, Evren.; Hotz, Ingrid.
2017
QD941
Available Online

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Title Modeling, analysis, and visualization of anisotropy / Thomas Schultz, Evren Özarslan, Ingrid Hotz, editors.
ISBN 9783319613581 (electronic book)
3319613588 (electronic book)
9783319613574
331961357X
DOI https://doi.org/10.1007/978-3-319-61358-1
Publication Details Cham : Springer, 2017.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-61358-1 doi
Call Number QD941
Dewey Decimal Classification 548/.8
Summary 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 Multivalued Data: 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.-- Provided by publisher.
Note Includes index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on print version record.
Added Author Schultz, Thomas.
Özarslan, Evren.
Hotz, Ingrid.
Series Mathematics and visualization.
Available in Other Form Print version: 9783319613574
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Part I: Features and Visualization
Part II: Image Processing and Analysis
Part III: Diffusion Modeling and Microstructure
Part IV: Tractography
Part V: Machine Learning Approaches.

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