- Full Description
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
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.
- Optimisation of Markov Random Fields.
- Variational Calculus.
- Principal Component Analysis.
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