Abstract
Medical imaging systems do not provide direct volume information. These data are generally a result of stacking-up 2D slices, with a resolution in the plane of the slice higher than the one perpendicular to the slice. The volume data is anisotropic. The objective of this paper is to provide an original way to design surface detection operators taking into account the anisotropic aspect. Two approaches are studied and illustrated by examples: signal processing and elaboration of continuous anisotropic model.
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© 1995 Springer-Verlag Berlin Heidelberg
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Hamitouche, C., Roux, C., Coatrieux, J.L. (1995). Design of New Surface Detection Operators in the Case of an Anisotropic Sampling of 3D Volume Data. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_69
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DOI: https://doi.org/10.1007/978-3-540-49197-2_69
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