Introduction to Medical Image Processing, 5 cr

Core content

• Basic principles of the image reconstruction methods in tomography imaging. This includes Radon tranformation, BP, FBP and MLEM.
• Real world constraints in medical imaging.
• Image quality measures and perfromance measures for PET Scanners. Standards for image formats.
• Image coregistration for medical use, problems and image fusion techniques. Image segmentation.
• Structural imaging versus functional imaging in the view of automatic analysis of the image sets.

Complementary knowledge

• OSEM and noise penalization (one step late and MRP)

Specialist knowledge

• Mathematical proofs of the reconstruction methods.