Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 4, March 2019

An Efficient Image Registration Method for 3D Post-Operative Analysis of Total Knee Arthroplasty

  Authors

Shabnam Saadat1, Mark Pickering1, Diana Perriman2, Jennie M. Scarvell3 and Paul N. Smith4, 1UNSW Canberra, Australia, 2Trauma and Orthopaedic Research Unit, Australia, 3Faculty of Health, University of Canberra, Australia and 4School of Medicine, The Australian National University, Canberra, Australia

  Abstract

Image registration is the process of spatially aligning one image to another. It has applications in different areas of medical image analysis. It can be used to assist the investigation of joint kinematics in conditions such as ligament injury, osteoarthritis, and after joint replacement. Analysing the 3D movement of joints after total knee arthroplasty surgery is crucial as the correct position and relative movement of knee implants will significantly impact the success of the surgery. However, most studies on this area are not very accurate or computationally expensive, or invasive, and still insufficient and developing. In this paper, we propose a non-invasive and robust 3D to 2D registration method, which can be used for 3D evaluations of the status of knee implants. This method addresses several challenges with regard to the registration of the implants. The experimental results show that the proposed method is not only robust but also fast.

  Keywords

Model to image registration, medical image analysis, similarity measure, Edge Position Difference