Medical Image Processing

Techniques and Applications

  • Geoff Dougherty

Part of the Biological and Medical Physics, Biomedical Engineering book series (BIOMEDICAL)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Geoff Dougherty
    Pages 1-4
  3. Cris L. Luengo Hendriks, Patrik Malm, Ewert Bengtsson
    Pages 5-25
  4. Camille Couprie, Laurent Najman, Hugues Talbot
    Pages 27-57
  5. David P. Costello, Patrick A. Kenny
    Pages 89-113
  6. Olena Tankyevych, Hugues Talbot, Nicolas Passat, Mariano Musacchio, Michel Lagneau
    Pages 115-144
  7. Mohammad A. Dabbah, James Graham, Rayaz A. Malik, Nathan Efron
    Pages 145-166
  8. Luke Domanski, Changming Sun, Ryan Lagerstrom, Dadong Wang, Leanne Bischof, Matthew Payne et al.
    Pages 167-191
  9. Michael J. Cree, Herbert F. Jelinek
    Pages 249-268
  10. Michael Iorga, Geoff Dougherty
    Pages 269-290
  11. Philip J. Bones, Bing Wu
    Pages 319-339
  12. Konstantin I. Momot, James M. Pope, R. Mark Wellard
    Pages 341-371
  13. Back Matter
    Pages 373-380

About this book


The field of medical imaging advances so rapidly that all of those working in it, scientists, engineers, physicians, educators and others, need to frequently update their knowledge in order to stay abreast of developments. While journals and periodicals play a crucial role in this, more extensive, integrative publications that connect fundamental principles and new advances in algorithms and techniques to practical applications are essential.

Medical Image Processing: Techniques and Applications meets this challenge and provides an enduring bridge in the ever expanding field of medical imaging. It serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on medical applications. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It presents a detailed approach to each application while emphasizing insight and “tricks of the trade”, and the applicability of techniques to other research areas. Although each chapter is written by an expert (or experts) in that area and is essentially self-contained, fundamental connections between the different topics are emphasized so that the book forms an integrated whole.

The book is designed for end users who wish to update their skills and understanding with the latest techniques in image analysis. Providing unprecedented breadth and detail, it will be a valuable cross-disciplinary resource both at the graduate and specialist level. It is also well suited  to supplement and motivate learning in graduate-level image processing classes within biomedical engineering, radiology and computer science.


3-D ultrasound imaging Compressive sampling biological imaging clinical imaging image analysis medical imaging pattern recognition

Editors and affiliations

  • Geoff Dougherty
    • 1
  1. 1., Applied Physics and Medical ImagingCalifornia State University Channel IslaCamarilloUSA

Bibliographic information

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