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010   $a3-319-61358-8
024 7 $a10.1007/978-3-319-61358-1
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035   $a(DE-He213)978-3-319-61358-1
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035   $a(PPN)220125376
035   $a(EXLCZ)994100000000881617
100   $a20171014d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aModeling, Analysis, and Visualization of Anisotropy /$fedited by Thomas Schultz, Evren Özarslan, Ingrid Hotz
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (X, 407 p. 150 illus. in color.) 
225 1 $aMathematics and Visualization,$x1612-3786
311   $a3-319-61357-X 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aPart I: Features and Visualization -- Part II: Image Processing and Analysis -- Part III: Diffusion Modeling and Microstructure -- Part IV: Tractography -- Part V: Machine Learning Approaches.
330   $aThis book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
410  0$aMathematics and Visualization,$x1612-3786
606   $aMatrix theory
606   $aAlgebra
606   $aComputer mathematics
606   $aMathematics
606   $aVisualization
606   $aOptical data processing
606   $aLinear and Multilinear Algebras, Matrix Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M11094
606   $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026
606   $aVisualization$3https://scigraph.springernature.com/ontologies/product-market-codes/M14034
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
615  0$aMatrix theory.
615  0$aAlgebra.
615  0$aComputer mathematics.
615  0$aMathematics.
615  0$aVisualization.
615  0$aOptical data processing.
615 14$aLinear and Multilinear Algebras, Matrix Theory.
615 24$aComputational Science and Engineering.
615 24$aVisualization.
615 24$aImage Processing and Computer Vision.
676   $a530
702   $aSchultz$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aÖzarslan$b Evren$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aHotz$b Ingrid$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254286103321
996   $aModeling, Analysis, and Visualization of Anisotropy$91562451
997   $aUNINA