Biomedical Image Analysis

Aly A. Farag is a Professor of Electrical and Computer Engineering, and founding Director of the Computer Vision and Image Processing Laboratory, at the University of Louisville. His research interests centre around object modelling with biomedical applications, and his more recent biomedical inventions have led to the development of improved methods for tubular object modelling, virtual colonoscopies and lung nodule detection and classification based on CT scans, real-time monitoring of vital signs from thermal imaging, and image-based reconstruction of the human jaw.

1. Overview of biomedical image analysis; Part I. Signals and Systems, Image Formation, and Image Modality: 2. Overview of two-dimensional signals and systems; 3. Biomedical imaging modalities; Part II. Stochastic Models: 4. Random variables; 5. Random processes; 6. Basics of random fields; 7. Probability density estimation by linear models; Part III. Computational Geometry: 8. Basics of topology and computational geometry; 9. Geometric features extraction; Part IV. Variational Calculus and Level Set Methods: 10. Variational approaches and level sets; Part V. Image Analysis Tools: 11. Segmentation – statistical approach; 12. Segmentation – variational approach; 13. Basics of registration; 14. Variational methods for shape registrations; 15. Statistical models of shape and appearance.