04235nam 22006975 450 991025428610332120200705023159.03-319-61358-810.1007/978-3-319-61358-1(CKB)4100000000881617(DE-He213)978-3-319-61358-1(MiAaPQ)EBC5106099(PPN)220125376(EXLCZ)99410000000088161720171014d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierModeling, Analysis, and Visualization of Anisotropy /edited by Thomas Schultz, Evren Özarslan, Ingrid Hotz1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (X, 407 p. 150 illus. in color.) Mathematics and Visualization,1612-37863-319-61357-X Includes bibliographical references at the end of each chapters and index.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.Mathematics and Visualization,1612-3786Matrix theoryAlgebraComputer mathematicsMathematicsVisualizationOptical data processingLinear and Multilinear Algebras, Matrix Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/M11094Computational Science and Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/M14026Visualizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M14034Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Matrix theory.Algebra.Computer mathematics.Mathematics.Visualization.Optical data processing.Linear and Multilinear Algebras, Matrix Theory.Computational Science and Engineering.Visualization.Image Processing and Computer Vision.530Schultz Thomasedthttp://id.loc.gov/vocabulary/relators/edtÖzarslan Evrenedthttp://id.loc.gov/vocabulary/relators/edtHotz Ingridedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254286103321Modeling, Analysis, and Visualization of Anisotropy1562451UNINA