Recent advances of medical diagnostic techniques have progressed from simple viewing of X-ray films to the use of Magnetic Resonance (MRI), X-ray tomography (CT), Positron Emission tomography (PET) etc. These techniques rely on the processing of large data sets in order to transform them into an image. Further image manipulation may also be of great importance because the process enables the significant information to be given more prominence.
In that way the task of a clinical radiologist, to arrive at the diagnosis, is made easier. The computing involved in this task has become highly developed and many high level environments are available some of which will be introduced and used during the workshop sessions. The subject will cover mathematical principles and several methods for image processing and image reconstruction.