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Digital Image Processing for Medical Applications

$83.00 USD

  • Date Published: May 2009
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511530371

$ 83.00 USD
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About the Authors
  • Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.

    • Combines intuition with problem-solving, and emphasizes 'the big picture' rather than unnecessary details
    • Accessible end-of-chapter problems reinforce and consolidate understanding; overviews summarize essential material covered in each chapter
    • Practical computer-based activities build intuition, skills and confidence
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    Reviews & endorsements

    'Digital Image Processing succeeds in being an accessible but rigorous first course in the generation and manipulation of medical images. Dougherty moves seamlessly between gamma rays, radiation doses, picture archiving strategies, Boolean logic, Fourier transforms, and applications like mammography and angiography. … The chief strengths … are its clear and well-considered organisation, its accessibility to a wide variety of audiences, and its applicability to an array of imaging modalities and techniques. The book also has wonderful illustrations, particularly of how to enhance images in the spatial and frequency domains.' Perspectives in Biology and Medicine

    'This is a book that delivers far more than its title would suggest. The author has succeeded in covering the subject of digital image processing in a way that makes it a valuable reference for those engaged in producing a visual rendering of data gathered from a wide range of sources where the output of instruments is collected and stored by computer … written in a very clear style … an excellent reference work on image processing in the science based applications extending beyond the medical field.' The Imaging Science Journal

    'The author states that this book is intended for biomedical engineers, computer scientists, radiological scientists, and physicists. It is my opinion that the quality of this book extends that list to medical physicists, digital artists, digital animators, and art restoration professionals. It also would be appropriate for graduate students in these disciplines who have an interest in the mathematical and computer-based manipulation of all types of imaging … This book is well written, hangs together as a complete work, is coherent, easy to read, and makes good on its claims set forth in the preface and introduction … The examples, illustrations, and chapter constructions are outstanding. The two middle sections of the book are its forte, and the index is useful and complete. This book is a must for anyone going into image processing - period.' William Davros, Medical Physics

    ''Digital image processing is a vast field. Even applications in medical imaging cover a very wide spectrum of activities. These can range from simple calculations of image profiles to complex CT reconstruction. Geoff Dougherty's book manages to condense the enormous digital image processing toolbox to a level that is ideal for someone with background in medical imaging wishing to explore this field. Getting the level correct is always difficult, but Professor Dougherty's vast teaching experience is clearly evident throughout the book. Relatively simple mathematics is used, but only where necessary. A particularly attractive aspect of the book are the computer-based activities in each chapter which give the reader 'hands-on' image processing experience. It is also an ideal starter textbook for a scientist proposing to specialise in medical image processing; the bibliography is impressive and up to date. It's the book I'd like to have read starting out in medical image processing some twenty-five years ago!' Patrick Kenny, Mater Misericordiae University Hospital, Dublin

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    Product details

    • Date Published: May 2009
    • format: Adobe eBook Reader
    • isbn: 9780511530371
    • contains: 372 b/w illus. 13 colour illus. 17 tables 130 exercises
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Preface
    1. Introduction
    2. Imaging systems
    3. Medical images obtained with ionizing radiation
    4. Medical images obtained with non-ionizing radiation
    5. Fundamentals of digital image processing
    6. Image enhancement in the spatial domain
    7. Image enhancement in the frequency domain
    8. Image restoration
    9. Morphological image processing
    10. Image segmentation
    11. Feature recognition and classification
    12. Three-dimensional visualization
    13. Medical applications of imaging
    14. Frontiers of image processing in medicine
    Appendix A. The Fourier Series and Fourier Transform
    Appendix B. Set theory and probability
    Appendix C. Shape and texture
    Bibliography
    Index.

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    Digital Image Processing for Medical Applications

    Geoff Dougherty

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  • Author

    Geoff Dougherty, California State University, Channel Islands
    Geoff Dougherty is Professor of Applied Physics and Medical Imaging at California State University Channel Islands where he teaches both undergraduate and graduate courses in image processing, medical imaging and pattern recognition. He has been conducting research in the applications of image processing and analysis to medical images for over 15 years, and is the author of more than 60 publications. He is a Senior Member of the IEEE, a Fellow of the IET and a Member of the American Association of Physicists in Medicine (AAPM).

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