Nonlinear Inverse Problems in Imaging
eBook - ePub

Nonlinear Inverse Problems in Imaging

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Nonlinear Inverse Problems in Imaging

About this book

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

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Yes, you can access Nonlinear Inverse Problems in Imaging by Jin Keun Seo,Eung Je Woo in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. List of Abbreviations
  6. Chapter 1: Introduction
  7. Chapter 2: Signal and System as Vectors
  8. Chapter 3: Basics of Forward Problem
  9. Chapter 4: Analysis for Inverse Problem
  10. Chapter 5: Numerical Methods
  11. Chapter 6: CT, MRI and Image Processing Problems
  12. Chapter 7: Electrical Impedance Tomography
  13. Chapter 8: Anomaly Estimation and Layer Potential Techniques
  14. Chapter 9: Magnetic Resonance Electrical Impedance Tomography
  15. Chapter 10: Magnetic Resonance Elastography
  16. Index