<p><p>This volume provides academic discussion on the theory and practice of mathematical analysis of nonlinear and inverse problems in electromagnetics and their applications. From mathematical problem statement to numerical results, the featured articles provide a concise overview of comprehensive
Nonlinear Inverse Problems in Imaging
โ Scribed by Jin Keun Seo, Eung Je Woo(auth.)
- Year
- 2012
- Tongue
- English
- Leaves
- 368
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book provides researchers and engineers in the imaging field with the skills they need to effectively deal with nonlinear inverse problems associated with different imaging modalities, including impedance imaging, optical tomography, elastography, and electrical source imaging. Focusing on numerically implementable methods, the book bridges the gap between theory and applications, helping readers tackle problems in applied mathematics and engineering. Complete, self-contained coverage includes basic concepts, models, computational methods, numerical simulations, examples, and case studies.
- Provides a step-by-step progressive treatment of topics for ease of understanding.
- Discusses the underlying physical phenomena as well as implementation details of image reconstruction algorithms as prerequisites for finding solutions to non linear inverse problems with practical significance and value.
- Includes end of chapter problems, case studies and examples with solutions throughout the book.
- Companion website will provide further examples and solutions, experimental data sets, open problems, teaching material such as PowerPoint slides and software including MATLAB m files.
Essential reading for Graduate students and researchers in imaging science working across the areas of applied mathematics, biomedical engineering, and electrical engineering and specifically those involved in nonlinear imaging techniques, impedance imaging, optical tomography, elastography, and electrical source imaging
Content:
Chapter 1 Introduction (pages 1โ7):
Chapter 2 Signal and System as Vectors (pages 9โ42):
Chapter 3 Basics of Forward Problem (pages 43โ70):
Chapter 4 Analysis for Inverse Problem (pages 71โ127):
Chapter 5 Numerical Methods (pages 129โ158):
Chapter 6 CT, MRI and Image Processing Problems (pages 159โ194):
Chapter 7 Electrical Impedance Tomography (pages 195โ249):
Chapter 8 Anomaly Estimation and Layer Potential Techniques (pages 251โ294):
Chapter 9 Magnetic Resonance Electrical Impedance Tomography (pages 295โ334):
Chapter 10 Magnetic Resonance Elastography (pages 335โ353):
๐ SIMILAR VOLUMES
This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in sc
Annotation