Abstract. Digital radiology leads to a growing amount of medical images which impose severe demands on networking and storage resources. These requirements can be met using content-orientated image compression which reduces the amount of data while preserving the diagnostic information. This paper presents a new method for automated vessel segmentation which can be used for both, decision support systems and content-orientated image compression of angiograms.