A bounded iterative closest point method for minimally invasive registration of the femur. (October 2013)

• Record Type: Journal Article
• Authors: Rodriguez y Baena, Ferdinando; Hawke, Trevor; Jakopec, Matjaz
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 227:Number 10(2013)
• Page Start: 1135
• Page End: 1144
• Publication Date: 2013-10
• Subjects: Intraoperative registration -- computer-assisted surgery -- unicompartmental knee arthroplasty -- image-based -- minimally invasive; Biomedical engineering -- Periodicals; Medical instruments and apparatus -- Periodicals; 610.28
• DOI: 10.1177/0954411913500948
• Languages: English
• ISSNs: 0954-4119

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.