Computed Radiation Imaging, 1st Edition,Esam Hussein,ISBN9780123877772

302 Pages / 229 X 152



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Computed Radiation Imaging, 1st Edition

Physics and Mathematics of Forward and Inverse Problems

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Author : E  Hussein   

Published: 27 May 2011

Imprint: Elsevier

ISBN: 9780123877772

Provides an in-depth discussion of the physical and mathematical foundations of imaging

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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

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.

Readership

Researchers working in the field of radiation-based imaging

Esam Hussein

Affiliations and Expertise

University of New Brunswick, Fredericton, NB Canada

Computed Radiation Imaging, 1st Edition

    1. Radiation Imaging
    2. PART I - The Forward Problem

    3. Radiation Transport
    4. Measurement Models
    5. Transmission
    6. Emission
    7. Scattering
    8. PART II - The Inverse Problem

    9. Features
    10. Formulation
    11. Preprocessing of Measurements
    12. Matrix-Based Methods
    13. Functional Optimization
    14. Analytic Methods
    15. Probabilistic Methods
    16. Incomplete Problems
    17. Testing
    18. Post-Processing: Image Enhancement
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