Guide to Medical Image Analysis: Methods and Algorithms

Author:   Klaus D. Toennies
Publisher:   Springer London Ltd
Edition:   2012 ed.
ISBN:  

9781447160960


Pages:   468
Publication Date:   13 April 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Guide to Medical Image Analysis: Methods and Algorithms


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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.

Full Product Details

Author:   Klaus D. Toennies
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2012 ed.
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   0.741kg
ISBN:  

9781447160960


ISBN 10:   1447160967
Pages:   468
Publication Date:   13 April 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.- Detection and Segmentation by Shape and Appearance.- Classification and Clustering.- Validation.- Optimisation of Markov Random Fields.- Variational Calculus.- Principal Component Analysis.- References.

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Author Information

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.

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