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Medical Imaging Systems

An Introductory Guide

  • Textbook
  • Open Access
  • © 2018

You have full access to this open access Textbook

Overview

  • 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)

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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.

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Keywords

Table of contents (12 chapters)

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, GermanyStefan 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: https://doi.org/10.1007/978-3-319-96520-8

  • Publisher: Springer Cham

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

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

  • 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

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