
Mathematical Methods in Image Reconstruction
Society for Industrial and Applied Mathematics (Publisher)
Published on 1. January 2001
Book
Hardback
228 pages
978-0-89871-472-2 (ISBN)
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Description
Since the advent of computerized tomography in radiology, many imaging techniques have been introduced in medicine, science, and technology. This book describes the state of the art of the mathematical theory and numerical analysis of imaging. The authors survey and provide a unified view of imaging techniques, provide the necessary mathematical background and common framework, and give a detailed analysis of the numerical algorithms. This book not only reflects the theoretical progress and the growth of the field in the last 10 years but also serves as an excellent reference. It will provide readers with a superior understanding of the mathematical principles behind imaging and will enable them to write state-of-the-art software as a result. Some of the applications covered in the book include computerized tomography, magnetic resonance imaging, emission tomography, electron microscopy, ultrasound transmission tomography, industrial tomography, seismic tomography, impedance tomography, and NIR imaging.
More details
Series
Language
English
Place of publication
Philadelphia
United States
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Dimensions
Height: 262 mm
Width: 283 mm
Thickness: 16 mm
Weight
661 gr
ISBN-13
978-0-89871-472-2 (9780898714722)
Schweitzer Classification
Persons
Author
Westfälische Wilhelms-Universität Münster, Germany
Frank Natterer is a Professor in the Institut für Numerische und instrumentelle Mathematik at the University of Münster.
Frank Natterer is a Professor in the Institut für Numerische und instrumentelle Mathematik at the University of Münster.
Westfälische Wilhelms-Universität Münster, Germany
Frank Wübbeling is a researcher in the Institut für Numerische und instrumentelle Mathematik at the University of Münster.
Frank Wübbeling is a researcher in the Institut für Numerische und instrumentelle Mathematik at the University of Münster.
Content
1. Introduction; 2. Integral geometry; 3. Tomography; 4. Stability and resolution; 5. Reconstruction algorithms; 6. Problems that have peculiarities; 7. Nonlinear tomography.