Knee Bone Surface Registration Using the Lipschitz Optimization Algorithm

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 443-444)

Edited by:

Li Jian

Pages:

537-541

DOI:

10.4028/www.scientific.net/AMR.443-444.537

Citation:

X. P. Wang et al., "Knee Bone Surface Registration Using the Lipschitz Optimization Algorithm", Advanced Materials Research, Vols. 443-444, pp. 537-541, 2012

Online since:

January 2012

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.