Abstract
In this work we present a method for automated orthopaedic measurements for patients that have undergone a partial or full joint replacement in the lower limbs. In contrast to previously published approaches for partially occluded objects, we deal with objects were the major part of the contour is missing, namely the epiphyses of the long bones in the lower limbs, that have been replaced in large parts by artificial joint implants of varying appearance. We present an approach based on the automatic detection and segmentation of implants and a robust adaptation of a segmentation technique based on deformable models. We evaluated our method on a set of clinical images and achieve an accuracy of 0.6 . for angles and 1.3mm for lengths measurements while significantly reducing assessment time and eliminating user interaction.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Beeres M. Medienservice-Papier zum künstlichen Gelenkersatz. Bundesverband Medizintechnologie, 2009; 2009.
Gooßen A, Hermann E, Gernoth T, et al. Model-based lower limb segmentation using weighted multiple candidates. Proc BVM. 2010; p. 376–80.
Dong X, Zheng G. Automatic extraction of femur contours from calibrated x-ray images: A Bayesian inference approach. In: Proc Biomed Imag; 2008. p. 57–60.
Kotcheff ACW, Redhead A, Taylor CJ, et al. Shape model analysis of THR radiographs. Proc ICPR. 1996;4:391–5.
Malladi R, Sethian JA, Vemuri BC. Shape modeling with front propagation: a level set approach. IEEE Trans Pattern Anal Mach Intell. 1995;17:158–75.
Otsu N. A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern. 1979;9(1):62–6.
Ruppertshofen H, Lorenz C, Beyerlein P, et al. Fully automatic model creation for object localization. Proc BVM. 2010; p. 331–5.
Paley D, Herzenberg JE. Principles of Deformity Correction. Springer; 2002.
Gordon JE, Chen RC, Dobbs MB, et al. Interobserver and intraobserver reliability in the evaluation of mechanical axis deviation. J Pediatr Orthop. 2009;29(3):281–4.
Hankemeier S, Gosling T, Richter M, et al. Computer-assisted analysis of lower limb geometry: higher intraobserver reliability compared to conventional method. Comput Aided Surg. 2006;11:81–6.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Gooßen, A., Weber, G.M., Pralow, T., Grigat, RR. (2011). Implant-Tolerant Orthopaedic Measurements for Post-Operative Radiographs of the Lower Limbs. In: Handels, H., Ehrhardt, J., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2011. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19335-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-19335-4_15
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19334-7
Online ISBN: 978-3-642-19335-4
eBook Packages: Computer Science and Engineering (German Language)