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International Orthopaedics

, Volume 40, Issue 6, pp 1187–1196 | Cite as

The use of a photogrammetric method for the three-dimensional evaluation of spinal correction in scoliosis

  • Eric BerthonnaudEmail author
  • Patrice Papin
  • Julie Deceuninck
  • Radwan Hilmi
  • Jean Claude Bernard
  • Joannes Dimnet
Original Paper

Abstract

Purpose

Clinical parameters, characterizing the spinal deformations due to scoliosis, are still directly measured on the spinal curve plane projections.

Methods

A 3D spinal curve has been reconstructed from its two projections, using photogrammetric techniques. Each spinal curve is a compound of several plane regions, where it is purely flexed, and short zones of connection, where abduction and axial rotation components are concentrated. All spinal curves are represented as linear chains of regional planes articulated together. The regional plane is represented by a triangle, where one summit corresponds to the point of maximum offset. The set of weight forces, representing pelvis and spine, forms a bundle of vertical forces. The dispersion of the bundle illustrates the postural stability of patients.

Results and Conclusions

The first objective was to numerically describe the changes of the 3D spinal feature, due to the correcting treatment. Changes are calculated from the comparison between 3D radiologic situations, between before and after treatment. The second objective was to determine the direction of the external force, which would be the most efficient for correcting the patient set spine/rib cage. A mild mechanical analysis is proposed, for representing the transit of the external force, from rib cage to thoracic regional plane.

Keywords

Biplanar radiography Correcting braces Patient global weight Photogrammetry Scoliosis Simulating the bracing effects 3D geometric structure of deformed spines 

Notes

Acknowledgments

Thanks to Pr. Kai-Nan AN for his valuable advice and help and to Dr. Hugo GIAMBINI for his help in writing this article (Biomechanics Laboratory, Division of Orthopedic Research, Mayo Clinic, Rochester, USA).

Compliance with Ethical Standards

Conflict of interest

All authors have no financial and personal relationships with other people or organisations that could inappropriately influence their work.

References

  1. 1.
    Labelle H, Bellefleur C, Joncas J, Aubin CE, Cheriet F (2007) Preliminary evaluation of a computer-assisted tool for the design and adjustement of braces in idiopathic scoliosis: a prospective and randomized study. Spine 32(8):835–843CrossRefPubMedGoogle Scholar
  2. 2.
    Gignac D, Aubin CE, Dansereau J, Labelle H (2000) Optimization method for 3D bracing correction of scoliosis using a finite element model. Eur Spine J 9:185–190CrossRefPubMedPubMedCentralGoogle Scholar
  3. 3.
    Courvoisier A, Vialle R, Skalli W (2014) EOS 3D Imaging: assessing the impact of brace treatment in adolescent idiopathic scoliosis. Expert Rev Med Devices 11(1):1–3CrossRefPubMedGoogle Scholar
  4. 4.
    Lebel DE, Al-Aubaidi Z, Shin EJ, Howard A, Zeller R (2013) Three dimensional analysis of brace biomechanical efficacy for patients with AIS. Eur Spine J 22(11):2445–2448CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Glasser DA, Doan J, Newton PO (2012) Comparison of 3-dimensional spinal reconstruction accuracu: biplanar radiographs with EOS versus computed tomography. Spine 37(16):1391–1397Google Scholar
  6. 6.
    Gilbertson LG, Goel VK, Kong WZ, Clausen JD (1995) Finite element methods in spine biomechanics research. Crit Rev Biomed Eng 23(5–6):411–473CrossRefPubMedGoogle Scholar
  7. 7.
    Courvoisier A, Drevelle X, Vialle R, Dubousset J, Skalli W (2013) 3D analysis of brace treatment in idiopathic scoliosis. Eur Spine J 22(11):2449–2455CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    Clin J, Aubin CE, Parent S, Sagnole A, Labelle H (2010) Comparison of the biomechanical 3D efficiency of different brace designs for the treatment of scoliosis using a finite element model. Eur Spine J 19:1169–1178CrossRefPubMedPubMedCentralGoogle Scholar
  9. 9.
    Nie WZ, Ye M, Wang ZY (2008) Infinite models in scoliosis: a review of the literature and analysis of personal experience. Biomed Technol (Berl) 53(4):174–180CrossRefGoogle Scholar
  10. 10.
    Nie WZ, Ye M, Liu ZD, Wang CT (2009) The patient-specific brace design and biomechanical analysis of adolescent idiopathic scoliosis. J Biomech Eng 31(4):041007. doi: 10.1115/1.3049843 CrossRefGoogle Scholar
  11. 11.
    Berthonnaud E, Dimnet J (2007) Analysis of structural features of deformed spines in frontal and sagittal projections. Comput Med Imaging Graph 31(1):9–16CrossRefPubMedGoogle Scholar
  12. 12.
    Berthonnaud E, Hilmi R, Dimnet J (2012) Geometric structure of 3D spinal curves: plane regions and connecting zones. ISRN Orthop. doi: 10.5402/2012/840426 PubMedPubMedCentralGoogle Scholar
  13. 13.
    Schlégl ÁT, Szuper K, Somoskeöy S (2015) Than P (2015) Three dimensional radiological imaging of normal lower-limb alignment in children. Int Orthop 39(10):2073–80. doi: 10.1007/s00264-015-2851-2 CrossRefPubMedGoogle Scholar

Copyright information

© SICOT aisbl 2016

Authors and Affiliations

  1. 1.L’Hôpital Nord Ouest Villefranche/SaôneVillefranche/Saône cedexFrance
  2. 2.Group of Applied Research in Orthopedic (GARO)Villefranche/SaôneFrance
  3. 3.Laboratoire de Physiologie de l’Exercice (EA4338)Université Jean MonnetSaint-EtienneFrance
  4. 4.Centre des Massues - Croix Rouge FrançaiseLyonFrance

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