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Transactions of the Institute of Measurement and Control
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Image guided orthopaedic surgery design and analysis

R. Phillips

Department of Computer Science, The University of Hull, Hull. HU6 7RX. UK

W.J. Viant

Department of Computer Science, The University of Hull, Hull. HU6 7RX. UK

A.M.M.A. Mohsen

Department of Computer Science, The University of Hull, Hull. HU6 7RX. UK, Orthopaedic Department, Hull Royal Infirmary, Hull, HU3 2JZ, UK

J.G. Griffiths

Department of Computer Science, The University of Hull, Hull. HU6 7RX. UK

M.A. Bell

Department of Computer Science, The University of Hull, Hull. HU6 7RX. UK

T.J. Cain

Orthopaedic Department, Hull Royal Infirmary, Hull, HU3 2JZ, UK

K.P. Sherman

Orthopaedic Department, Hull Royal Infirmary, Hull, HU3 2JZ, UK

M.R.K. Karpinski

Orthopaedic Department, Hull Royal Infirmary, Hull, HU3 2JZ, UK

Within the next few years it is envisaged that a number of computer assisted surgery products will become available. For many surgical procedures, outcome of surgery,, will rely on the accuracy and repeatability with which a computer assisted surgical toolperforms its task. This paper presents a Computer Assisted Orthopaedic System (CAOS) which takes an image guided approach to planning and implementing a trajectory, to assist an orthopaedic surgeon. Accurate delivery of this trajectory is achieved via an intelligent guide.

This paper details the design issues and identifies the registration and calibration techniques used by the CAOS intelligent guide. The paper also enumerates, and where possible quantifies, thefactors that influence the accuracy performance of the system. Accuracy trees are used to show the root source of inaccuracies and how they propagate and combine in a system.

Key Words: Orthopaedic surgery • passive manipulators • image intensifier • registration • calibration • computer assisted surgery • image guidance

Transactions of the Institute of Measurement and Control, Vol. 17, No. 5, 251-264 (1995)
DOI: 10.1177/014233129501700505
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