Overview
- An in-depth-introduction into medical image analysis, suitable for use as a textbook
- Provides a detailed discussion on segmentation, classification and registration techniques
- Presents the methods in the context of their adequate use, based on the constraints necessary for successful application
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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About this book
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.
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Keywords
Table of contents (14 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Guide to Medical Image Analysis
Book Subtitle: Methods and Algorithms
Authors: Klaus D. Toennies
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-2751-2
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2012
Softcover ISBN: 978-1-4471-6096-0Published: 13 April 2014
eBook ISBN: 978-1-4471-2751-2Published: 04 February 2012
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XX, 468
Topics: Image Processing and Computer Vision, Imaging / Radiology