Anisotropy Across Fields and Scales

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Tác giả: Andrea Fuster, Evren Özarslan, Thomas Schultz, Eugene Zhang

Ngôn ngữ: eng

ISBN-13: 978-3030562151

Ký hiệu phân loại:

Thông tin xuất bản: Cham, Switzerland : Springer Nature, 2021

Mô tả vật lý: 1 electronic resource (280 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 250424

This open access book focuses on processing, modeling, and visualization of anisotropy information, which are often addressed by employing sophisticated mathematical constructs such as tensors and other higher-order descriptors. It also discusses adaptations of such constructs to problems encountered in seemingly dissimilar areas of medical imaging, physical sciences, and engineering. Featuring original research contributions as well as insightful reviews for scientists interested in handling anisotropy information, it covers topics such as pertinent geometric and algebraic properties of tensors and tensor fields, challenges faced in processing and visualizing different types of data, statistical techniques for data processing, and specific applications like mapping white-matter fiber tracts in the brain. The book helps readers grasp the current challenges in the field and provides information on the techniques devised to address them. Further, it facilitates the transfer of knowledge between different disciplines in order to advance the research frontiers in these areas. This multidisciplinary book presents, in part, the outcomes of the seventh in a series of Dagstuhl seminars devoted to visualization and processing of tensor fields and higher-order descriptors, which was held in Dagstuhl, Germany, on October 28-November 2, 2018.
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