Lessmann, Birgit: Exploration of wavelet-based feature spaces in medical image analysis. 2007
Inhalt
- List of Figures
- List of Tables
- Introduction
- Current Challenges in Medical Image Processing
- Increasing Size and Complexity of Datasets
- Curse of Dimensionality
- Semantic Gap
- Applicability in Clinical Practice
- Wavelet Analysis in Medical Image Processing
- Materials
- Medical Background: Tumours
- Database I: Microscopy Images of Meningiomas
- Tumours of the Central Nervous System
- Meningiomas
- Acquisition of Microscopy Images
- Database Characteristics
- Database II: MR Images of Breast Lesions
- Methods
- Wavelet Analysis
- From Fourier to Wavelet Analysis
- Continuous and Discrete Wavelet Transform
- Multiresolution Analysis
- The Fast Wavelet Transform
- Wavelet Transform in Higher Dimensions
- Wavelet Bases
- Software for Wavelet Applications
- Methods of Dimension Reduction
- Multiscale Analysis of Microscopy Images
- Introduction
- Image Domain
- Pre-Processing of Colour Channels
- Texture Features
- SOM-Based Exploration of the Feature Space
- Applications of Results
- Choice of the Mother Wavelet
- Discussion and Conclusion
- Multiscale Analysis of DCE-MR Images
- Introduction
- Analysis of Dynamic Characteristics
- Motivation
- Wavelet Analysis in Breast Cancer Diagnostics
- Datasets
- Exploration of Datasets
- Application of Results - Segmentation
- Choice of the Mother Wavelet
- Discussion and Conclusion
- Analysis of Morphologic Characteristics
- Conclusion
- Bibliography
- Appendix