Abstract
Wir stellen einen Ansatz zur Extraktion schmaler Adern in verrauschten medizinischen Einzelbildern vor. Es werden im wesentlichen Eigenschaften wie die nahezu konstante Aderdicke, die Parallelität und gleiche Steilheit der Ränder als Vorwissen benutzt. Obwohl an Verzweigungsstellen noch Erkennungsfehler auftreten, reicht die Auflösung außerhalb dieser Bereiche bis zu einer Aderbreite von 2-3 Bildpunkten. Der Algorithmus ist klinisch noch nicht erprobt und nicht als Produkt erhältlich.
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Waidhas, K., Kutka, R. (1989). Adernextraktion durch iteratives Gradientenmatching in stark verrauschten medizinischen Bildern. In: Burkhardt, H., Höhne, K.H., Neumann, B. (eds) Mustererkennung 1989. Informatik-Fachberichte, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75102-8_28
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DOI: https://doi.org/10.1007/978-3-642-75102-8_28
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