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Intra-Operative Registration of 3D data capture with pre-operative plan for TKA

4 pagesPublished: June 13, 2017

Abstract

INTRODUCTION
Total knee arthroplasty (TKA) is widely performed for improving pain and restoring function for patients with osteoarthritis (OA) and over 50000 primary procedures were performed in Australia in 2015 (Annual report 2016). Computer assisted pre-operative planning (CAPP) was introduced to enhance accuracy of rotational and translational alignment of components (Schep 2003). It can be done with 3D bone surface modelling from CT or MRI scans and take kinematics and surgeon work flow into account. Computer assisted intra-operative navigation is also accessed by some surgeons and consists of three elements: software platform, point positions from reference arrays captured and reference device attached to the patient’s bone (Bae 2011).
By incorporating CAPP with navigation, a correlation between the patient’s anatomy from pre-operative images can be established by gathering intra-operative anatomical landmarks and/or surface points and is known as registration (Chan 2016). However, identifying landmarks and acquiring images intra-operatively and the registration quality can be time-consuming and/or prone to risk. Custom-designed registration software that could reduce the time and error and be incorporated into the surgical workflow is needed (Chan 2016).
The aim of this study was to develop custom registration software using pre-operative planning and intra-operative 3D data capture and validate precision and repeatability using a preliminary Sawbones study.

Keyphrases: 3D scanning, computational geometry, medical software, Mesh, Pre-operative planning, Registration of bone landmarks, surgical navigation

In: Klaus Radermacher and Ferdinando Rodriguez Y Baena (editors). CAOS 2017. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 1, pages 38--41

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