Volume 4 Supplement 2

6th International Conference on Conservative Management of Spinal Deformities

Open Access

Dynamic 3D (4D) in objective classification of severe back deformities

Scoliosis20094(Suppl 2):O16

DOI: 10.1186/1748-7161-4-S2-O16

Published: 14 December 2009

Objectives

To perform a non-invasive dynamic analysis of movement ranges, asymmetries in scoliosis, and other back deformities and to average a series of images.

Background

Objective parameters in diagnostics and treatment of back problems are normally acquired through invasive, time-consuming and/or expensive methods. Non-invasive and significantly objective parameters can be extracted from a dynamic 4D reconstruction.

Methods

The Formetric 4D measurement system dynamically scans and reconstructs human back surfaces with a frequency of up to 24 Hz. Automatically detectable fixed points and invariant features on the surface correlates to a high degree of accuracy with the spinal processes and pelvis. Thus, it is possible to calculate parameters derived from spine and pelvic position, displacement and rotation, things such as kyphotic and lordotic angles, pelvic symmetry and torsion, spinal rotation and displacement. Variations in postural movements in upright position of patients may, however, lead to significant reduction of repeatability of examinations. A series of images taken with automatic calculation of the average values will solve this problem. In a dynamic examination, predefined movements are analyzed regarding symmetry and range of motion.

Results

The robustness and reproducibility of reconstruction parameters significantly improves by taking the average of a series of images recorded over a period of 3-10 sec. In the Matthias's test, kyphotic and lordotic angles show the break-up of the standing posture over time. The Romberg test gives information about fluctuation movements of the upper body relative to the pelvis. Asymmetry by stepping gives information about pelvic and spinal blockages.

Conclusion

Significant objective dynamic parameters can be calculated without invasive methods or the use of ionizing radiation.

Authors’ Affiliations

(1)
Diers International

Copyright

© Diers et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd.

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