Abstract
In this paper a new fully automatic method for registration of intramodal medical data is proposed. The method combines edge detection at different thresholds with chamfer distance transformation. The result is a distance map which is weighted by the importance of the edges which are extracted. As an alternative to the user-dependent non-automatic registration methods this approach offers a good assessment of similarity in the intramodality case. The elimination of the less significant features in the registration process has resulted in a greatly improved efficiency over the voxel-based methods.
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© 2000 Springer-Verlag Berlin Heidelberg
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Król, Z. (2000). Registration of Intramodal Medical Images Using a Novel s-Distance Approach. In: Horsch, A., Lehmann, T. (eds) Bildverarbeitung für die Medizin 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59757-2_12
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DOI: https://doi.org/10.1007/978-3-642-59757-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67123-7
Online ISBN: 978-3-642-59757-2
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