Computed Tomography - Algorithms, Insight, and Just Enough Theory (Paperback)

In Computed Tomography: Algorithms, Insight, and Just Enough Theory, readers will learn about the fundamental computational methods used for image reconstruction in computed tomography (CT). Unique in its emphasis on the interplay of modeling, computing, and algorithm development, the book presents underlying mathematical models for motivating and deriving the basic principles of CT reconstruction methods, along with insight into their advantages, limitations, and computational aspects. Computed Tomography: Algorithms, Insight, and Just Enough Theory: Develops the mathematical and computational aspects of three main classes of reconstruction methods. Emphasizes the link between CT and numerical methods, which is rarely found in current literature. Describes the effects of incomplete data using both microlocal analysis and the singular value decomposition (SVD). Contains computer exercises using MATLAB that allow readers to experiment with the algorithms and make the book suitable for teaching and self-study. This book is aimed at students, researchers, and practitioners. As a textbook, it is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	Fundamentals of Algorithms
Release date:	June 2021
Editors:	Per Christian Hansen • Jakob Sauer Jorgensen • William R. B. Lionheart
Authors:	Martin S. Andersen • K. Joost Batenburg • Yiqiu Dong • Eric Todd Quinto • Jan Sijbers
Dimensions:	179 x 260 x 25mm (L x W x T)
Format:	Paperback
Pages:	337
ISBN-13:	978-1-61197-666-3
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-61197-666-9
Barcode:	9781611976663

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