Non — Contact Volumetric Measurement for Spine Evaluation and Production of Spine Orthotics

  • Karlo Obrovac
  • Toma Udiljak
  • Jadranka Vuković Obrovac
Conference paper
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 486)

Abstract

Today it is possible to measure human body with completely non-invasive devices [1,2,3,4] but there is no widely used method for quick, accurate and non-invasive evaluation of spine.[5,6,7,8]. Another problem is the fact that such patient should be transported in some specialized center where the appropriate therapeutic solution could be obtained, and where there are technical and medical resources. This work presents the idea, already supported with published work of other authors, of using 3D optical scanning system for evaluating of spine deformities and asymmetry. Considering the fact that commercially available devices for 3D scanning are very expensive, the possibility to scan human body with cameras from several directions and make the reconstruction of body shape seems very promising and competitive. The reconstructed model can be measured with the computer aid which gives tool for quick and quality follow up of shape change through time, and comparison before and after applied therapy. The system could also offer a possibility to design and produce high quality spine orthotics, or highly comfortable and individually adjusted spine supports.

Keywords

Stereophotogrammetry Spine Deformities Human Body Scanning 
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Pommert, J. K. et al., (1996), “Three Dimensional Imaging In Medicine: Method And Applications”, Computer Integrated Surgery (Eds R.H. Taylor et al.), Ch. 9, 155–174Google Scholar
  2. 2.
    J. Spencer, P.M. James, “Three-dimensional facial growth studied by optical surface scanning”, British Journal of Orthodontics, Vol. 27, No. 1, 31–38., 2000.CrossRefGoogle Scholar
  3. 3.
    J. Norton, N. Donaldson, L. Dekker, “3D whole body scanning to determine mass properties of legs”, J Biomech., 35(1):81–86., 2002.CrossRefGoogle Scholar
  4. 4.
    Yu, C.Y., Lo, Y.H., Chiou, W.K., (2003), “The 3D scanner for measuring body surface area: a simplified calculation in the Chinese adult”, Appl Ergon. 34(3):273–278CrossRefGoogle Scholar
  5. 5.
    R.B. Winter, MB, E. Lonstein, “To brace or not to brace: The true value of school screening”, Spine. 22,12, 1283–1284., 1997.CrossRefGoogle Scholar
  6. 6.
    N Chockalingam, PH Dangerfield, G Giakas, T Cochrane and JC Dorgan, “Computer assisted assessment of spine deformities”, European Spine Journal 11(4), 353–357., 2002.CrossRefGoogle Scholar
  7. 7.
    PD Masso, GE Gorton III, “Quantifying changes in standing body segment alignment following spinal instrumentation and fusion idiopathic scoliosis using and optoelectronic measurement system”, Spine; 25: 457–62., 2000. Spine; 19: 236–248., 1994.CrossRefGoogle Scholar
  8. 8.
    Theologis, TN., Fairbank, JC., Turner-Smith, AR., Pantazopoulos, T. (1997), “Early detection of progression in adolescent idiopathic scoliosis by measurement of changes in back shape with integrated shape imaging system scanner”, Spine, 22, 1223–1228CrossRefGoogle Scholar
  9. 9.
    M.J. Thali, M. Braun, J. Wirth, P. Vock, R. Dirnhofer, “3D surface and body documentation in forensic medicine: 3-D/CAD Photogrammetry merged with 3D radiological scanning”, J Forensic Sci., 48(6): 1356–1365., 2003.Google Scholar
  10. 10.
    Aubin, CE., Dansereau, J., Petit, Y., Parent, F., DeGuise, J., (1996), “Validation of a 3D reconstruction technique for the validation of scoliotic spine wedging”, First Scientific meeting of the The International Research Society of Spinal Deformities, StockholmGoogle Scholar
  11. 11.
    Stokes, IA., (1994), “Three-dimensional terminology of spinal deformity: A report presented to the Scoliosis Research Society by the Scoliosis Research Society Working Group on 3-D terminology of spinal deformity”, Spine 15;19(2):236–248CrossRefGoogle Scholar
  12. 12.
    S. Delorme, P. Violas, Dansereau J., J.A. de Guise, C.É. Aubin, H. Labelle, “Preoperative and early postoperative three-dimensional changes of the rib cage after posterior instrumentation in adolescent idiopathic scoliosis”, Eur. Spine J., 10: 101–106., 2000.CrossRefGoogle Scholar
  13. 13.
    Stokes, IA., Armstrong, JG., Moreland, MS., (1998), “Deformity and back surface asymmetry in idiopathic scoliosis”, I. orthop.res-6, 129–137Google Scholar
  14. 14.
    Baillard, C., Zisserman, A., (1999), “Automatic Reconstruction of Piecewise Planar Models from Multiple Views”, Proceedings of CVPR’ 99, 559–565., Fort Collins, CO, USAGoogle Scholar
  15. 15.
    Reid, G.T., Rixon, R.C., Messer, H.J., (1984), “Absolute and Comparative Measurements of Three Dimensional Shape by Phase Measuring Topography”, Optics and Laser Technology, 16, 315–319CrossRefGoogle Scholar
  16. 16.
    Jericevic, Z., Wiese, B., Bryan, J., Smith, L.C., (1989), “Validation of an Imaging System”, Meth. Cell Biol., 30:48–83Google Scholar
  17. 17.
    N. Ayache and F. Lustman, “Fast and Reliable Passive Trinocular Stereovision”, Proceedings of ICCV’ 87, 422–427., London, UK, 1997.Google Scholar

Copyright information

© CISM, Udine 2005

Authors and Affiliations

  • Karlo Obrovac
    • 1
  • Toma Udiljak
    • 2
  • Jadranka Vuković Obrovac
    • 1
  1. 1.Corkit d.o.o.ZagrebCroatia
  2. 2.Faculty of Mechanical Engineering and Naval ArchitectureUniversity of ZagrebCroatia

Personalised recommendations