TITLE

Bone Alignment Using the Iterative Closest Point Algorithm

AUTHOR(S)
Beek, Maarten; Small, Carolyn F.; Ellis, Randy E.; Sellens, Richard W.; Pichora, David R.
PUB. DATE
November 2010
SOURCE
Journal of Applied Biomechanics;Nov2010, Vol. 26 Issue 4, p526
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Computer assisted surgical interventions and research in joint kinematics rely heavily on the accurate registration of three-dimensional bone surface models reconstructed from various imaging technologies. Anomalous results were seen in a kinematic study of carpal bones using a principal axes alignment approach for the registration. The study was repeated using an iterative closest point algorithm, which is more accurate, but also more demanding to apply. The principal axes method showed errors between 0.35 mm and 0.49 mm for the scaphoid, and between 0.40 mm and 1.22 mm for the pisiform. The iterative closest point method produced errors of less than 0.4 mm. These results show that while the principal axes method approached the accuracy of the iterative closest point algorithm in asymmetrical bones, there were more pronounced errors in bones with some symmetry. Principal axes registration for carpal bones should be avoided.
ACCESSION #
58000422

 

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