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Modeling, analysis, and visualizatio...

Schultz, Thomas.

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Modeling, analysis, and visualization of anisotropy

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling, analysis, and visualization of anisotropy/ edited by Thomas Schultz, Evren Ozarslan, Ingrid Hotz.
其他作者:	Schultz, Thomas.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	x, 407 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Anisotropy. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-61358-1
ISBN:	9783319613581

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

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

596747
Anisotropy.

LC Class. No.: QD941 / .M63 2017

Dewey Class. No.: 548.8

Modeling, analysis, and visualization of anisotropy
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