NDLI: An improved CT to fluoroscopy registration algorithm for the kinematic analysis of knee joints

Content Provider	IEEE Xplore Digital Library
Author	Pickering, M.R. Scarvell, J.M. Smith, P.N.
Copyright Year	2009
Description	Author affiliation: School of Information Technology and Electrical Engineering, The University of New South Wales at the Australian Defence Force Academy, Australia (Pickering, M.R.) \|\| Trauma and Orthopaedic Research Unit, The Canberra Hospital, USA (Scarvell, J.M.; Smith, P.N.)
Abstract	Understanding the kinematics of the knee joint as it undergoes normal physical activities is an important goal of the orthopaedic research community. The limitations of previous approaches to capturing knee kinematics include the requirement for tantalum beads to be implanted prior to imaging and the use of biplanar X-ray imaging which is not commonly available in hospital imaging departments. A recently proposed alternative approach is to register 3D CT data with individual 2D video frames of the knee captured using single-plane X-ray fluoroscopy. The main limitation of this approach has been the inaccuracy of the registration algorithm for out-of-plane translation. In this paper we propose an improved registration algorithm which uses the relatively new Cross-Cumulative Residual Entropy similarity measure. Experimental results show that the accuracy of our proposed technique is superior to previous approaches particularly for out-of-plane translation.
Starting Page	1
Ending Page	6
File Size	337501
Page Count	6
File Format	PDF
ISBN	9781424432974
DOI	10.1109/ICDSP.2009.5201122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-05
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kinematics Knee Bones Joints Computed tomography X-rays Orthopedic surgery Optical imaging Hospitals Motion analysis computed tomography knee kinematics multimodal image registration mutual information fluoroscopy
Content Type	Text
Resource Type	Article

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