Using Prior Shapes in Geometric Active Contours in a Variational Framework

By Yunmei Chen, Hemant D. Tagare, S. Thiruvenkadam, Feng Huang, D. C. Wilson, Kaundinya S. Gopinath, Richard W. Briggs, E. Geiser. International Journal of Computer Vision, 2002

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A level set approach for shape-driven segmentation and tracking of the left ventricle (2003, background): “At the same time, accou nting for prior shape knowledge - a significant limitation - was recently addressed in various forms [2], [7], [13].”
Minimization of Region-Scalable Fitting Energy for Image Segmentation (2008, unknown): “Second, active contour models can be easily formulated under a principled energy minimization framework, and allow incorporation of various prior knowledge, such as shape and intensity distribution, for robust image segmentation [5], [14].”
Level set based shape prior segmentation (2005, methodology): “There are also many works on shape prior segmentation in the literature [9, 10, 2, 4, 6, 20].”
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation (2006, methodology): “Building up on recent advances (Leventon et al., 2000; Tsai et al., 2001; Chen et al., 2002; Rousson and Paragios, 2002; Cremers, Sochen and Schnörr, 2003; Cremers and Soatto, 2003; Charpiat et al., 2005; Cremers et al., 2006; Chan and Zhu, 2003) and on classical methods of non-parametric density…”
Ultrasound image segmentation: a survey (2006, methodology): “Extending their previous work on using prior shapes in a variational framework [21], Chen et al. [22], [23] used prior shape and intensity proﬁles to constrain the evolution of a geometric active contour.”