Computed Tomography – Algorithms, Insight, and Just Enough Theory
Algorithms, Insight, and Just Enough Theory
Series: Fundamentals of Algorithms;
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Publisher MP–SIA SIAM – Society for Industrial and Applied M
- Date of Publication 30 October 2021
- Number of Volumes Paperback
- ISBN 9781611976663
- Binding Paperback
- No. of pages337 pages
- Size 259x178x25 mm
- Weight 778 g
- Language English 229
Categories
Short description:
Discusses 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.
MoreLong description:
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. More
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