Computed Radiation Imaging

1st Edition

Physics and Mathematics of Forward and Inverse Problems

Authors: Esam Hussein
Hardcover ISBN: 9780123877772
eBook ISBN: 9780123877789
Imprint: Elsevier
Published Date: 27th May 2011
Page Count: 302
158.00 + applicable tax
99.00 + applicable tax
122.00 + applicable tax
Unavailable
Compatible Not compatible
VitalSource PC, Mac, iPhone & iPad Amazon Kindle eReader
ePub & PDF Apple & PC desktop. Mobile devices (Apple & Android) Amazon Kindle eReader
Mobi Amazon Kindle eReader Anything else

Institutional Access


Description

Computer-assisted imaging with radiation (x- and gamma rays) is an integral part of modern medical-diagnostic practice. This imaging technology is also slowly finding its way into industrial applications. Although the technology is well developed, there is a need for further improvement to enhance image quality, reduce artifacts, minimize patient radiation exposure, compete with and complement other imaging methods (such as magnetic resonance imaging and ultrasonics), and accommodate dense and large objects encountered in industrial applications.

Scientists and engineers, attempting to progress this technology, are faced with an enormous amount of literature, addressing the imaging problem from various view points. This book provides a single source that addresses both the physical and mathematical aspects of the imaging problem in a consistent and comprehensive manner.

Key Features

  • Discusses the inherent physical and numerical capabilities and limitations of the methods presented for both the forward and inverse problems
  • Provides information on available Internet resources and software
  • Written in a manner that makes it readable by physicists, mathematicians, engineers and computer scientists – avoids, as much as possible, the use of specialized terminology without clear introduction and definition

Readership

Researchers working in the field of radiation-based imaging

Table of Contents

Preface

1. Radiation Imaging

1.1. Why Radiation?

1.2. Imaging Modalities

1.3. Direct and Reconstructed Imaging

1.4. The Forward and Inverse Problems

1.5. Forward and Inverse Mapping

Introduction

2. Radiation Transport

2.1. Introduction

2.2. Variables

2.3. Cross Sections

2.4. Boltzmann Transport Equation

2.5. Source-Free Steady-State Problem

2.6. Steady-State Problem in Void

2.7. Point-Kernel Method

2.8. Charged Particles

3. Measurement Models

3.1. Formulation

3.2. Scaling

3.3. Measured Response

3.4. Sensitivity

3.5. Variability

3.6. Components

3.7. Image Grid

3.8. Idealization

3.9. Computer Coding

4. Transmission

4.1. Basic Model

4.2. Physical Relevance

4.3. Discretization

4.4. Nature of Radiation Source

4.5. Secondary Radiation

4.6. Scattering

4.7. Sensitivity

4.8. Variability

5. Emission

5.1. Embedded Radiation

5.2. Induced Emission

5.3. Discretization

5.4. Sensitivity

5.5. Sources

5.6. Interfering Effects

6. Scattering

6.1. Introduction

6.2. Single-Scattering Model

6.3. Multiple Scattering

6.4. Compton Scattering

6.5. Neutron Elastic Scattering

6.6. Discretization

6.7. Sensitivity

Introduction

7. Features

7.1. Discretization

7.2. Well-Posed Problem

7.3. Existence

7.4. Uniqueness

7.5. Continuity

7.6. Ill-Posed Problem

7.7. Ill-Conditioning

7.A. Basics of Functional Analysis

8. Formulation

8.1. Matrix

8.2. Functional

8.3. Analytic

8.4. Probabilistic

8.A. Probabilistic Basis of Maximum-Likelihood and Least-

Details

No. of pages:
302
Language:
English
Copyright:
© Elsevier 2011
Published:
Imprint:
Elsevier
eBook ISBN:
9780123877789
Hardcover ISBN:
9780123877772
Paperback ISBN:
9780323165297

About the Author

Esam Hussein

Affiliations and Expertise

University of New Brunswick, Fredericton, NB Canada

Reviews

Computer-assisted imaging with radiation (x- and gamma rays) is an integral part of modern medical-diagnostic practice. This imaging technology is also slowly finding its way into industrial applications. Although the technology is well developed, there is a need for further improvement to enhance image quality, reduce artifacts, minimize patient radiation exposure, compete with and complement other imaging methods (such as magnetic resonance imaging and ultrasonics), and accommodate dense and large objects encountered in industrial applications.

Scientists and engineers, attempting to progress this technology, are faced with an enormous amount of literature, addressing the imaging problem from various view points. This book provides a single source that addresses both the physical and mathematical aspects of the imaging problem in a consistent and comprehensive manner.