Geometric deformable models are deformable models that are implemented using the level set method. They have been extensively studied and widely used in a variety of applications in biomedical image analysis. In this chapter, the general geometric deformable model framework is first presented and then recent developments on topology, prior shape, intensity and motion, resolution, efficiency, robust optimization, and multiple objects are reviewed. Key equations and motivating and demonstrative examples are provided for many methods and guidelines for appropriate use are noted.
CITATION STYLE
Bai, Y., Han, X., & Prince, J. L. (2015). Geometric deformable models. In Handbook of Biomedical Imaging: Methodologies and Clinical Research (pp. 83–104). Springer US. https://doi.org/10.1007/978-0-387-09749-7_5
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