Abstract
We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and particle filter tracking. In comparison to earlier work we utilize a 3D intensity model as the measurement model of the particle filter, thus a more realistic 3D appearance model is used that directly represents the image intensities of 3D tubular structures within semi-global regions-of-interest. We have successfully applied our approach using 3D synthetic images and real 3D MRA image data of the human pelvis.
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© 2009 Springer-Verlag Berlin Heidelberg
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Wörz, S., Godinez, W.J., Rohr, K. (2009). Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures. In: Meinzer, HP., Deserno, T.M., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2009. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93860-6_9
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DOI: https://doi.org/10.1007/978-3-540-93860-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-93859-0
Online ISBN: 978-3-540-93860-6
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