Abstract
We present a fast shape recovery technique in 2D and 3D with specific applications in modeling shapes from medical and biomedical imagery. This approach and the algorithms described is similar in spirit to our previous work in [16,18], is topologically adaptable, and runs in O(N log N) time where N is the total number of points visited in the domain. Our technique is based on the level set shape recovery scheme introduced in [16,3] and the fast marching method in [27] for computing solutions to static Hamilton-Jacobi equations.
Supported in part by the Applied Mathematical Sciences Subprogram of the Office of Energy Research, U.S. Dept. of Energy under Contract DE-AC03- 76SD00098 and by the NSF ARPA under grant DMS-8919074.
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Malladi, R., Sethian, J.A. (2002). Fast Methods for Shape Extraction in Medical and Biomedical Imaging. In: Malladi, R. (eds) Geometric Methods in Bio-Medical Image Processing. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55987-7_1
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DOI: https://doi.org/10.1007/978-3-642-55987-7_1
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