Guide to Medical Image Analysis
Methods and Algorithms
(Sprache: Englisch)
Practical in approach, this book describes a range of common imaging techniques, reconstruction techniques and image artifacts, reviews image enhancement methods, discusses image transfer and archiving, and includes exercises and a glossary of abbreviations.
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Practical in approach, this book describes a range of common imaging techniques, reconstruction techniques and image artifacts, reviews image enhancement methods, discusses image transfer and archiving, and includes exercises and a glossary of abbreviations.
Klappentext zu „Guide to Medical Image Analysis “
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.
Inhaltsverzeichnis zu „Guide to Medical Image Analysis “
The Analysis of Medical ImagesDigital 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
Autoren-Porträt von Klaus D. Toennies
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.
Bibliographische Angaben
- Autor: Klaus D. Toennies
- 2014, 2012, XX, 468 Seiten, Maße: 15,8 x 24 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1447160967
- ISBN-13: 9781447160960
Sprache:
Englisch
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