Guide to Medical Image Analysis: Methods and Algorithms

✍ Scribed by Klaus D. Toennies (auth.)

• Publisher: Springer-Verlag London
• Year: 2012
• Tongue: English
• Leaves: 489
• Series: Advances in Computer Vision and Pattern Recognition
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XX
The Analysis of Medical Images....Pages 1-19
Digital Image Acquisition....Pages 21-82
Image Storage and Transfer....Pages 83-109
Image Enhancement....Pages 111-146
Feature Detection....Pages 147-169
Segmentation: Principles and Basic Techniques....Pages 171-209
Segmentation in Feature Space....Pages 211-233
Segmentation as a Graph Problem....Pages 235-259
Active Contours and Active Surfaces....Pages 261-297
Registration and Normalization....Pages 299-331
Detection and Segmentation by Shape and Appearance....Pages 333-378
Classification and Clustering....Pages 379-412
Validation....Pages 413-442
Appendix....Pages 443-457
Back Matter....Pages 459-468

✦ Subjects

Image Processing and Computer Vision; Imaging / Radiology