Paper Title:
Knee Bone Surface Registration Using the Lipschitz Optimization Algorithm
  Abstract

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)
Chapter
Chapter 1: Advances in Manufacturing Engineering Techniques and Materials Science
Edited by
Li Jian
Pages
537-541
DOI
10.4028/www.scientific.net/AMR.443-444.537
Citation
X. P. Wang, Y. Z. Cheng, M. M. Zhao, X. H. Ding, J. Bai, "Knee Bone Surface Registration Using the Lipschitz Optimization Algorithm", Advanced Materials Research, Vols. 443-444, pp. 537-541, 2012
Online since
January 2012
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