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Guide to Medical Image Analysis

Methods and Algorithms

  • Textbook
  • © 2017

Overview

Authors:
  1. Klaus D. Toennies

    1. Otto-von-Guericke-Universität Magdeburg Computer Science Department, ISG, Magdeburg, Germany

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  • An in-depth-introduction into medical image analysis, suitable for use as a textbook
  • Provides a detailed discussion on segmentation, classification and registration techniques
  • Presents the methods in the context of their adequate use, based on the constraints necessary for successful application
  • Updated new edition, expanded with additional methods, and coverage of deep convolutional networks
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. The Analysis of Medical Images

    • Klaus D. Toennies
    Pages 1-22

  3. Digital Image Acquisition

    • Klaus D. Toennies
    Pages 23-94

  4. Image Storage and Transfer

    • Klaus D. Toennies
    Pages 95-123

  5. Image Enhancement

    • Klaus D. Toennies
    Pages 125-172

  6. Feature Detection

    • Klaus D. Toennies
    Pages 173-207

  7. Segmentation: Principles and Basic Techniques

    • Klaus D. Toennies
    Pages 209-247

  8. Segmentation in Feature Space

    • Klaus D. Toennies
    Pages 249-273

  9. Segmentation as a Graph Problem

    • Klaus D. Toennies
    Pages 275-310

  10. Active Contours and Active Surfaces

    • Klaus D. Toennies
    Pages 311-360

  11. Registration and Normalization

    • Klaus D. Toennies
    Pages 361-404

  12. Shape, Appearance and Spatial Relationships

    • Klaus D. Toennies
    Pages 405-472

  13. Classification and Clustering

    • Klaus D. Toennies
    Pages 473-528

  14. Validation

    • Klaus D. Toennies
    Pages 529-562

  15. Appendix

    • Klaus D. Toennies
    Pages 563-578

  16. Erratum to: Guide to Medical Image Analysis

    • Klaus D. Toennies
    Pages E1-E1

  17. Back Matter

    Pages 579-589
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Keywords

About this book

This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.

Reviews

“I am glad to have had the opportunity to review this book, which is suitable for beginners to learn the overall, big picture of medical image analysis. … the book is very well written with details of the algorithms being described in a way that pupils can easily understand. The exercises and references are reasonable and helpful … .” (Guang Yang, International Association of Pattern Recognition Newsletter, Vol. 40 (1), January, 2018)



“The book is well written and accurate. The author states that he has made a number of additions and corrections in this new edition; the result is very good. … it’s well suited as a textbook for medical professionals. I am evaluating it for adoption in a medical imaging course, and would recommend it to those in the medical field who want a detailed discussion of medical image analysis.” (Computing Reviews, October, 2017)

Authors and Affiliations

  • Otto-von-Guericke-Universität Magdeburg Computer Science Department, ISG, Magdeburg, Germany

    Klaus D. Toennies

About the author

Dr. Klaus D. Toennies is a Professor of Image Processing and Pattern Recognition at the Department of Simulation and Graphics of the Otto-von-Guericke University of Magdeburg, Germany.

Bibliographic Information

  • Book Title: Guide to Medical Image Analysis

  • Book Subtitle: Methods and Algorithms

  • Authors: Klaus D. Toennies

  • Series Title: Advances in Computer Vision and Pattern Recognition

  • DOI: https://doi.org/10.1007/978-1-4471-7320-5

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London Ltd. 2017

  • Hardcover ISBN: 978-1-4471-7318-2Published: 02 May 2017

  • Softcover ISBN: 978-1-4471-7403-5Published: 19 July 2018

  • eBook ISBN: 978-1-4471-7320-5Published: 29 March 2017

  • Series ISSN: 2191-6586

  • Series E-ISSN: 2191-6594

  • Edition Number: 2

  • Number of Pages: XXIV, 589

  • Number of Illustrations: 187 b/w illustrations, 197 illustrations in colour

  • Topics: Image Processing and Computer Vision, Imaging / Radiology

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