Basic concepts: Images, Volume data, 4D data, pixel, voxel, file-formats, DICOM (Digital Imaging and Communications in Medicine). Registration, segmentation, shape models, machine learning.
Image acquisition techniques: Radiography, CT (X-ray computed tomography), MR (Magnetic resonance imaging), ultrasound, PET (Positron emission tomography), Scint (Scintigraphy) and SPECT (Single-photon emission computed tomography).
Noise and Image enhancement, loss-less compression
Registration: Registration of medical images. Mutual information. Landmark based methods. Deformation models.
Segmentation: active contours in 2D, 3D and 4D, active appearance models. Graph-methods.
Machine Learning: Training, testing, generalization, hypothesis spaces.
Validation: Databases. Ethics.