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Modeling, analysis, and visualizatio...

Hotz, Ingrid.

Modeling, analysis, and visualization of anisotropy

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling, analysis, and visualization of anisotropyedited by Thomas Schultz, Evren Ozarslan, Ingrid Hotz.
other author:	Schultz, Thomas.
Published:	Cham :Springer International Publishing :2017.
Description:	x, 407 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Anisotropy.
Online resource:	http://dx.doi.org/10.1007/978-3-319-61358-1
ISBN:	9783319613581$q(electronic bk.)

Modeling, analysis, and visualization of anisotropy
Modeling, analysis, and visualization of anisotropy[electronic resource] /edited by Thomas Schultz, Evren Ozarslan, Ingrid Hotz. - Cham :Springer International Publishing :2017. - x, 407 p. :ill., digital ;24 cm. - Mathematics and visualization,1612-3786. - Mathematics and visualization..

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.

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.

ISBN: 9783319613581$q(electronic bk.)

Standard No.: 10.1007/978-3-319-61358-1doiSubjects--Topical Terms:

207917
Anisotropy.

LC Class. No.: QD941 / .M63 2017

Dewey Class. No.: 548.8

Modeling, analysis, and visualization of anisotropy
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520 $a 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.
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