In this paper, we present a shape recovery technique in 2 0 and 3 0 with specific applications in visualizing and measuring anatomical shapes from medical images. This algorithm models extremely corrugated structures like the brain, is topologically adaptable, is robust, and runs in O(Nlog N ) time where N is the total number of points in the domain. Our twostage technique is based on the level set shape recovery scheme introduced in [11, 12, 41 and the fast marching method in [19] for computing solutions to static Hamilton-Jacobi equations.
Ravi Malladi, James A. Sethian