Accuracy of a fluoroscopy technique for assessing patellar tracking

T. S. Y. Tang, N. J. MacIntyre, H. S. Gill, R. A. Fellows, N. A. Hill, D. R. Wilson, R. E. Ellis

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

1 Citation (Scopus)

Abstract

Accuracy of a novel fluoroscopy-based method of assessing patellar tracking was determined by comparing the pattern of patellar motion with respect to orientation (flexion, internal rotation, and lateral tilt) and translation (lateral, proximal, and anterior) with the pattern of patellar motion measured using Roentgen Stereophotogrammetric Analysis (RSA) in one cadaver knee specimen. Each pose in the patellar motion could be obtained from a single as well as multiple calibrated fluoroscopic images. The mean error (SD) varies from 0.73 (0.44) to 1.60 (0.48) degrees for patellar orientation and from 0.48 (0.37) to 1.20 (0.57) mm for patellar translation. These errors appear to be sufficiently low to identify clinically significant differences in patellar kinematics.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - (MICCAI), 2003
EditorsR. E. Ellis, T. M. Peters
Place of PublicationHeidelberg, Germany
PublisherSpringer Heidelberg
Pages319-326
Number of pages8
ISBN (Print)9783540204626
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2878

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tang, T. S. Y., MacIntyre, N. J., Gill, H. S., Fellows, R. A., Hill, N. A., Wilson, D. R., & Ellis, R. E. (2003). Accuracy of a fluoroscopy technique for assessing patellar tracking. In R. E. Ellis, & T. M. Peters (Eds.), Medical Image Computing and Computer-Assisted Intervention - (MICCAI), 2003 (pp. 319-326). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2878). Springer Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_40