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Fast 3D reconstruction of the lower limb using a parametric model and statistical inferences and clinical measurements calculation from biplanar X-rays

Author

Listed:
  • Y. Chaibi
  • T. Cresson
  • B. Aubert
  • J. Hausselle
  • P. Neyret
  • O. Hauger
  • J. de Guise
  • W. Skalli

Abstract

In clinical routine, lower limb analysis relies on conventional X-ray (2D view) or computerised tomography (CT) Scan (lying position). However, these methods do not allow 3D analysis in standing position. The aim of this study is to propose a fast and accurate 3D-reconstruction-method based on parametric models and statistical inferences from biplanar X-rays with clinical measurements' (CM) assessment in standing position for a clinical routine use. For the reproducibility study, the 95% CI was under 2.7° for all lower limbs' angular measurements except for tibial torsion, femoral torsion and tibiofemoral rotation ( < 5°). The 95% CI were under 2.5 mm for lower limbs' lengths and 1.5 to 3° for the pelvis' CM. Comparisons between X-rays and CT-scan based 3D shapes in vitro showed mean differences of 1.0 mm (95% CI = 2.4 mm). Comparisons of 2D lower limbs' and 3D pelvis' CM between standing ‘Shifted-Feet’ and ‘Non-Shifted-Feet’ position showed means differences of 0.0 to 1.4°. Significant differences were found only for pelvic obliquity and rotation. The reconstruction time was about 5 min.

Suggested Citation

  • Y. Chaibi & T. Cresson & B. Aubert & J. Hausselle & P. Neyret & O. Hauger & J. de Guise & W. Skalli, 2012. "Fast 3D reconstruction of the lower limb using a parametric model and statistical inferences and clinical measurements calculation from biplanar X-rays," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(5), pages 457-466.
  • Handle: RePEc:taf:gcmbxx:v:15:y:2012:i:5:p:457-466
    DOI: 10.1080/10255842.2010.540758
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    Cited by:

    1. G. Dubois & P. Rouch & D. Bonneau & J. L. Gennisson & W. Skalli, 2016. "Muscle parameters estimation based on biplanar radiography," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 19(15), pages 1592-1598, November.

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