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A systematic approach to feature tracking of lumbar spine vertebrae from fluoroscopic images using complex-valued wavelets

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  • Alexander Wong
  • Nadine M. Dunk
  • Jack P. Callaghan

Abstract

This paper presents a systematic approach to lumbar spine vertebrae tracking in fluoroscopic images using complex-valued wavelets. The proposed algorithm is designed specifically based on a set of performance criteria associated with the detection and tracking of feature points in lumbar spine vertebrae from fluoroscopic images. The algorithm handles contrast and illumination non-homogeneities and noise in fluoroscopic images through the use of local phase information obtained using complex-valued wavelets. The algorithm is capable of tracking feature points that undergo various geometric deformations caused during the fluoroscopic imaging process by defining a descriptor that is invariant to scale and rotation and robust to affine, projective and mild pin-cushion distortions. The algorithm has been tested using dynamic sagittal fluoroscopic videos of the lumbar-sacral region and testing results indicate that the algorithm achieves good tracking performance of lumbar spine vertebrae in fluoroscopic images that exhibit contrast and illumination non-homogeneities as well as noise, with mean root mean square error of less than 0.40 mm under in all test sequences.

Suggested Citation

  • Alexander Wong & Nadine M. Dunk & Jack P. Callaghan, 2009. "A systematic approach to feature tracking of lumbar spine vertebrae from fluoroscopic images using complex-valued wavelets," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(5), pages 607-616.
    • Handle: RePEc:taf:gcmbxx:v:12:y:2009:i:5:p:607-616
    DOI: 10.1080/10255840902802891
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    Cited by:

    1. Christian Balkovec & Jim H. Veldhuis & John W. Baird & G. Wayne Brodland & Stuart M. McGill, 2017. "A videofluoroscopy-based tracking algorithm for quantifying the time course of human intervertebral displacements," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 20(7), pages 794-802, May.

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