Editors:
- 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)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
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.
Editors and Affiliations
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Lehrstuhl für Mustererkennung, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Andreas Maier, Stefan Steidl, Vincent Christlein, Joachim Hornegger
About the editors
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