Guide to Medical Image Analysis

1. Front Matter

   Pages I-XX

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2. The Analysis of Medical Images

   • Klaus D. Toennies

   Pages 1-19

3. Digital Image Acquisition

   • Klaus D. Toennies

   Pages 21-82

4. Image Storage and Transfer

   • Klaus D. Toennies

   Pages 83-109

5. Image Enhancement

   • Klaus D. Toennies

   Pages 111-146

6. Feature Detection

   • Klaus D. Toennies

   Pages 147-169

7. Segmentation: Principles and Basic Techniques

   • Klaus D. Toennies

   Pages 171-209

8. Segmentation in Feature Space

   • Klaus D. Toennies

   Pages 211-233

9. Segmentation as a Graph Problem

   • Klaus D. Toennies

   Pages 235-259

10. Active Contours and Active Surfaces

    • Klaus D. Toennies

    Pages 261-297

11. Registration and Normalization

    • Klaus D. Toennies

    Pages 299-331

12. Detection and Segmentation by Shape and Appearance

    • Klaus D. Toennies

    Pages 333-378

13. Classification and Clustering

    • Klaus D. Toennies

    Pages 379-412

14. Validation

    • Klaus D. Toennies

    Pages 413-442

15. Appendix

    • Klaus D. Toennies

    Pages 443-457

16. Back Matter

    Pages 459-468

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This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.

• Classification
• Image Processing
• Medical Image Analysis
• Object Detection
• Registration
• Segmentation

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

  Klaus D. Toennies

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.

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