Modeling, Analysis, and Visualization of Anisotropy [[electronic resource] /] / edited by Thomas Schultz, Evren Özarslan, Ingrid Hotz

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (X, 407 p. 150 illus. in color.)
• Disciplina: 530
• Soggetto topico: Matrix theory; Algebra; Computer mathematics; Mathematics; Visualization; Optical data processing; Linear and Multilinear Algebras, Matrix Theory; Computational Science and Engineering; Image Processing and Computer Vision
• Persona (resp. second.): SchultzThomas; ÖzarslanEvren; HotzIngrid
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Modeling, Analysis, and Visualization of Anisotropy
• ISBN: 3-319-61358-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254286103321
• Lo trovi qui: Univ. Federico II
• Serie: Mathematics and Visualization, . 1612-3786