Skip to main content
  • Textbook
  • Open Access
  • © 2018

Medical Imaging Systems

An Introductory Guide

  • Written by experts

  • Comprehensive introduction to the fields of medical imaging systems

  • For students in the early semesters

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11111)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (12 chapters)

  1. Front Matter

    Pages I-X
  2. Introduction

    • Andreas Maier
    Pages 7-12Open Access
  3. System Theory

    • Peter Fischer, Klaus Sembritzki, Andreas Maier
    Pages 13-36Open Access
  4. Image Processing

    • David Bernecker
    Pages 37-55Open Access
  5. Endoscopy

    • Sven Haase, Andreas Maier
    Pages 57-68Open Access
  6. Microscopy

    • Firas Mualla, Marc Aubreville, Andreas Maier
    Pages 69-90Open Access
  7. Magnetic Resonance Imaging

    • Felix Lugauer, Jens Wetzl
    Pages 91-118Open Access
  8. X-ray Imaging

    • Martin Berger, Qiao Yang, Andreas Maier
    Pages 119-145Open Access
  9. Computed Tomography

    • Oliver Taubmann, Martin Berger, Marco Bögel, Yan Xia, Michael Balda, Andreas Maier
    Pages 147-189Open Access
  10. X-ray Phase Contrast: Research on a Future Imaging Modality

    • Johannes Bopp, Lina Felsner, Shiyang Hu, Sebastian Kaeppler, Christian Riess
    Pages 191-205Open Access
  11. Emission Tomography

    • James Sanders
    Pages 207-236Open Access
  12. Ultrasound

    • Dominik Neumann, Eva Kollorz
    Pages 237-249Open Access
  13. Optical Coherence Tomography

    • Lennart Husvogt, Stefan Ploner, Andreas Maier
    Pages 251-261Open Access
  14. Back Matter

    Pages 263-265

About this book

This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.


  • Digital signal processing
  • Image processing
  • Image representations
  • Image segmentation
  • Life and medical sciences
  • Medical technologies
  • Open access
  • Reconstruction
  • Signal processing systems

Editors and Affiliations

  • Lehrstuhl für Mustererkennung, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

    Andreas Maier, Stefan Steidl, Vincent Christlein, Joachim Hornegger

About the editors

Andreas Maier, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Stefan Steidl, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Vincent Christlein, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Joachim Hornegger, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Bibliographic Information

  • Book Title: Medical Imaging Systems

  • Book Subtitle: An Introductory Guide

  • Editors: Andreas Maier, Stefan Steidl, Vincent Christlein, Joachim Hornegger

  • Series Title: Lecture Notes in Computer Science

  • DOI:

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018

  • License: CC BY

  • Softcover ISBN: 978-3-319-96519-2Published: 03 August 2018

  • eBook ISBN: 978-3-319-96520-8Published: 02 August 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 259

  • Number of Illustrations: 167 b/w illustrations

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)