Abstract
We propose an algorithm for the segmentation of blood vessels in the kind of CT-data typical for diagnostics in a clinical environment. Due to poor quality and variance in the properties of the data sets a two level approach using implicit active contours is chosen for the task. A fast pre-segmentation using the fast marching method followed by propagation of a sparse field level set allows a robust segmentation of the vascular tree. Evaluation of the results and observed problems are described.
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© 2006 Springer-Verlag Berlin Heidelberg
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Rink, K., Törsel, AM., Tönnies, K. (2006). Segmentation of the Vascular Tree in CT Data Using Implicit Active Contours. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_28
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DOI: https://doi.org/10.1007/3-540-32137-3_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32136-1
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