Medical Imaging Systems - An Introductory Guide

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.

List of contents

Introduction.- System Theory.- Image Processing.- Endoscopy.-  Microscopy.-  Magnetic Resonance Imaging.- X-ray Imaging.- Computed Tomography.-  X-ray Phase Contrast: Research on a Future Imaging Modality.- Emission Tomography.-  Ultrasound.-  Optical Coherence Tomography.-  Acronyms. 
 

About the author

Andreas Maier, Friedrich-Alexander-Universität Erlangen-Nürnberg, GermanyStefan Steidl, Friedrich-Alexander-Universität Erlangen-Nürnberg, GermanyVincent Christlein, Friedrich-Alexander-Universität Erlangen-Nürnberg, GermanyJoachim Hornegger, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Product details

• Assisted by: Vincent Christlein (Editor), Vincent Christlein et al (Editor), Joachim Hornegger (Editor), Andreas Maier (Editor), Stefa Steidl (Editor), Stefan Steidl (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783319965192
• ISBN: 978-3-31-996519-2
• No. of pages: 259
• Dimensions: 155 mm x 237 mm x 17 mm
• Weight: 418 g
• Illustrations: X, 259 p. 167 illus.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software