Abstract
Deformable models are used for the segmentation of objects in 3D images by adapting flexible meshes to image structures. The simultaneous segmentation of multiple objects often causes problems like violation of spatial relationships. Here we present two methods for including prior knowledge into the segmentation process: The first deals with objects sliding with respect to each other, and the second considers a pre-defined minimal distance between neighboring objects. Using this prior knowledge improved segmentation results can be reached.
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© 2008 Springer-Verlag Berlin Heidelberg
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Franz, A. et al. (2008). Simultaneous Model-Based Segmentation of Multiple Objects. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_51
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DOI: https://doi.org/10.1007/978-3-540-78640-5_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
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