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Exploring RSA Ultimate Accuracy by Using Computer Synthetic Images

  • Xunhua Yuan
  • Terry M. Peters
  • Robert B. Bourne
  • David W. Holdsworth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2878)

Abstract

In this study, the ultimate accuracy of an RadioStereometric Analysis system was explored by computer synthetic images. Comparing computer synthetic images with joint phantom images, the correlation between RSA accuracy and image noise was revealed. Our study indicates that RSA has ultimate accuracies of 0 (± 1) μm, 0 (± 1) μm and 0 (± 4) μm along the X-, Y- and Z-axis, respectively, far more accurate than the phantom images with accuracies of 5 (± 38) μm, 6 (± 44) μm and 13 (± 76) μm.

Keywords

Image Noise Phantom Image Ultimate Accuracy Roentgen Stereophotogrammetric Analysis RadioStereometric Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Xunhua Yuan
    • 1
    • 2
  • Terry M. Peters
    • 1
  • Robert B. Bourne
    • 2
  • David W. Holdsworth
    • 1
  1. 1.Imaging ResearchRobarts Research InstituteLondonCanada
  2. 2.Orthopaedics DivisionLondon Health Sciences CentreLondonCanada

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