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Modeling, Analysis, and Visualization of Anisotropy

Modeling, Analysis, and Visualization of Anisotropy
Catalogue Information
Field name Details
Dewey Class 512.5
Title Modeling, Analysis, and Visualization of Anisotropy ([EBook]) / edited by Thomas Schultz, Evren ?arslan, Ingrid Hotz.
Added Personal Name Schultz, Thomas editor.
?arslan, Evren editor.
Hotz, Ingrid editor.
Other name(s) SpringerLink (Online service)
Publication Cham : Springer International Publishing : Imprint: Springer , 2017.
Physical Details X, 407 p. 150 illus. in color : online resource.
Series Mathematics and Visualization 1612-3786
ISBN 9783319613581
Summary Note 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.:
Contents note 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.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
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