The radon transform and medical imaging
- Kuchment, Peter, 1949- author.
- Philadelphia, PA : Society for Industrial and Applied Mathematics, 
- Physical description
- xvi, 240 pages : illustrations (some color) ; 26 cm.
- CBMS-NSF regional conference series in applied mathematics ; 85.
RC78.7 .U4 2014
- Unknown RC78.7 .U4 2014
- Society for Industrial and Applied Mathematics, issuing body.
- Includes bibliographical references and index.
- List of figures-- Preface-- Part I. Introduction: 1. Why use mathematics in medical imaging?-- 2. A brief and incomplete history of CT-- 3. Some major CT modalities and their features to watch for-- 4. Organization of the book-- Part II. Traditional Computed Tomography Techniques and Integral Geometry: 5. 'Standard' CT and X-ray and Radon transforms-- 6. Emission tomography-- 7. Artifacts, incomplete data, microlocal analysis, and such-- 8. More about 3D Radon and X-ray transforms-- 9. A brief overview of numerical methods-- 10. MRI, EIT, OT, elastography, UT-- Part III. Hybrid (Coupled Physics) Imaging Techniques: 11. Thermo-, photo-, and optoacoustic tomography (TAT/PAT/OAT)-- 12. Ultrasound modulation in EIT and OT-- 13. Inverse problems with interior information-- Part IV. Appendices: A. Notation-- B. Brief notes on the Fourier transform and harmonic analysis-- C. Geometric rays, trapping, energy decay-- D. Some classes of linear operators and operator functions-- E. Recommended books and surveys-- Bibliography-- Index.
- (source: Nielsen Book Data)
- Publisher's Summary
- The Radon transform, which represents the scattering data arising from a tomographic scan, underpins the mathematical foundations of medical imaging. This book surveys the mathematics behind some well-established imaging modalities such as X-ray CT and emission tomography, as well as a variety of newly developing coupled physics or hybrid techniques, including thermoacoustic tomography. Presented in this treatment are explanations of important concepts such as inversion, stability, incomplete data effects, the role of interior information, and other critical issues. In addition to emphasising mathematical ideas from across the spectrum of medical imaging modalities, the author provides a vast bibliography, and appendices covering notation, Fourier analysis, geometric rays, and linear operators. Graduate students and researchers in mathematics, physics, and engineering who are interested in medical imaging will find this book to be an invaluable resource.
(source: Nielsen Book Data)
- Publication date
- Peter Kuchment.
- CBMS-NSF regional conference series in applied mathematics ; 85