Knee Bone Surface Registration Using the Lipschitz Optimization Algorithm

Xiao Peng Wang; Yuan Zhi Cheng; Ming Ming Zhao; Xiao Hua Ding; Jing Bai

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 443-444Knee Bone Surface Registration Using the Lipschitz...

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.

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Periodical:

Advanced Materials Research (Volumes 443-444)

Pages:

537-541

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.443-444.537

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Online since:

January 2012

Authors:

Xiao Peng Wang, Yuan Zhi Cheng, Ming Ming Zhao, Xiao Hua Ding, Jing Bai

Keywords:

Articular Cartilage, Cartilage Thickness, Corresponding Points, Global Optimization, Registration

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References

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