Knee Bone Surface Registration Using the Lipschitz Optimization Algorithm
We describe a technique for the registration of three dimensional (3D) knee bone surface points from MR image data sets. This technique is grounded on a mathematical theory – Lipschitz optimization. Based on this theory, we propose a global search algorithm that simultaneously determines the transformation and point correspondences. Compared with the other three registration approaches (ICP, EM-ICP, and genetic algorithms), the new proposed method achieved the highest registration accuracy on animal data.
X. P. Wang et al., "Knee Bone Surface Registration Using the Lipschitz Optimization Algorithm", Advanced Materials Research, Vols. 443-444, pp. 537-541, 2012