Modeling, analysis, and visualization of anisotropy / Thomas Schultz, Evren Özarslan, Ingrid Hotz, editors.
2017
QD941
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Details
Title
Modeling, analysis, and visualization of anisotropy / Thomas Schultz, Evren Özarslan, Ingrid Hotz, editors.
ISBN
9783319613581 (electronic book)
3319613588 (electronic book)
9783319613574
331961357X
3319613588 (electronic book)
9783319613574
331961357X
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.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Description based on print version record.
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Series
Mathematics and visualization.
Available in Other Form
Print version: 9783319613574
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Table of Contents
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.
Part II: Image Processing and Analysis
Part III: Diffusion Modeling and Microstructure
Part IV: Tractography
Part V: Machine Learning Approaches.