Guide to Medical Image Analysis: Methods and Algorithms

by Klaus D. Toennies

Overview

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.

Product Details

ISBN-13:	9781447173205
Publisher:	Springer-Verlag New York, LLC
Publication date:	03/29/2017
Series:	Advances in Computer Vision and Pattern Recognition
Sold by:	Barnes & Noble
Format:	eBook
File size:	19 MB
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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.

Table of Contents

The Analysis of Medical Images.- Digital Image Acquisition.- Image Storage and Transfer.- Image Enhancement.- Feature Detection.- Segmentation: Principles and Basic Techniques.- Segmentation in Feature Space.- Segmentation as a Graph Problem.- Active Contours and Active Surfaces.- Registration and Normalization.- Shape, Appearance and Spatial Relationships.- Classification and Clustering.- Validation.- Appendix.

Editorial Reviews

I am glad to have had the opportunity to review this book, which is suitable for beginners to learn the overall, big picture of medical image analysis. … the book is very well written with details of the algorithms being described in a way that pupils can easily understand. The exercises and references are reasonable and helpful … .” (Guang Yang, International Association of Pattern Recognition Newsletter, Vol. 40 (1), January, 2018)

“The book is well written and accurate. The author states that he has made a number of additions and corrections in this new edition; the result is very good. … it’s well suited as a textbook for medical professionals. I am evaluating it for adoption in a medical imaging course, and would recommend it to those in the medical field who want a detailed discussion of medical image analysis.” (Computing Reviews, October, 2017)

From the Publisher