Segmentation of Blood Vessels in Subtraction Angiographic Images

Digital radiology leads to a growing amount of medical im- ages which impose severe demands on networking and storage resources. These requirements can be met using content-orientated image compres- sion 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.

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