An intelligent system for image-based rating of corrosion severity at stem taper of retrieved hip replacement implants.

Journal: Medical engineering & physics
Published Date: Nov 1, 2018

Abstract

Visual scoring of damage at taper junctions is the sole method to quantify corrosion in large-scale retrieval studies of failed hip replacement implants. This study introduces an intelligent image analysis-based method that objectively rates corrosion at stem taper of retrieved hip implants according to the well-known Goldberg scoring method. A Support Vector Machine classifier was used that takes in vectors of global and local textural features and assigns scores to the corresponding images. Bayesian optimisation fine-tunes the hyperparameters of the classifier to minimise the cross-validation error.

Authors

  • Roohollah Milimonfared
    The Medical Device Research Institute, Flinders University, Adelaide, Australia.
  • Reza H Oskouei
    The Medical Device Research Institute, Flinders University, Adelaide, Australia. Electronic address: reza.oskouei@flinders.edu.au.
  • Mark Taylor
    The Medical Device Research Institute, Flinders University, Adelaide, Australia.
  • Lucian B Solomon
    Department of Orthopaedics and Trauma Service, Royal Adelaide Hospital, Adelaide, Australia; Centre for Orthopaedic and Trauma Research, The University of Adelaide, Adelaide, Australia.

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