A bounded iterative closest point method for minimally invasive registration of the femur.
Author(s)
Rodriguez Y Baena, F
Hawke, T
Jakopec, M
Type
Journal Article
Abstract
This article describes a novel method for image-based, minimally invasive registration of the femur, for application to computer-assisted unicompartmental knee arthroplasty. The method is adapted from the well-known iterative closest point algorithm. By utilising an estimate of the hip centre on both the preoperative model and intraoperative patient anatomy, the proposed 'bounded' iterative closest point algorithm robustly produces accurate varus-valgus and anterior-posterior femoral alignment with minimal distal access requirements. Similar to the original iterative closest point implementation, the bounded iterative closest point algorithm converges monotonically to the closest minimum, and the presented case includes a common method for global minimum identification. The bounded iterative closest point method has shown to have exceptional resistance to noise during feature acquisition through simulations and in vitro plastic bone trials, where its performance is compared to a standard form of the iterative closest point algorithm.
Date Issued
2013-08-19
Citation
Proc Inst Mech Eng H, 2013, October 2013, 227 (10), pp.1135-1144
ISSN
0954-4119
Publisher
SAGE PUBLICATIONS LTD
Start Page
1135
End Page
1144
Journal / Book Title
Proc Inst Mech Eng H
Volume
227
Issue
10
Copyright Statement
© Sage 2013. The final publication is available via Sage at http://dx.doi.org/10.1177/0954411913500948
Identifier
http://www.ncbi.nlm.nih.gov/pubmed/23959859
PII: 0954411913500948
Edition
October 2013
Publication Status
Published