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Predicting spinal profile using 3D non-contact surface scanning: Changes in surface topography as a predictor of
J Paige Little1, Lionel Rayward1, Mark J Pearcy1
1Biomechanics and Spine Research Group, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
Plos One
|September 27, 2019
Summary
3D surface scanning (3DSS) accurately characterizes spinal curvature, offering a potential method for tracking skeletal changes. This technique shows promise for non-invasive assessment of spinal topography.
Area of Science:
- Biomedical Engineering
- Radiology
- Orthopedics
Background:
- 3D non-contact surface scanners provide precise 3D surface topography.
- Characterizing spinal curvature and sagittal plane contour is crucial for diagnosing and monitoring spinal conditions.
Purpose of the Study:
- To evaluate the accuracy and efficacy of 3D surface scanning (3DSS) for assessing spinal curvature and sagittal plane contour.
- To compare 3DSS measurements with Magnetic Resonance Imaging (MRI) data.
Main Methods:
- Ten healthy female adults underwent both MRI and 3DSS.
- Anatomical landmarks were identified using skin markers, followed by 3DSS and MRI with fiducial markers.
- Spinal column profiles were mapped using 3D coordinates from markers and spinous processes.
Main Results:
- The root mean square error (RMSE) for marker profiles ranged from 0.17-1.15mm.
- Nine out of ten subjects showed good alignment between MRI fiducial markers and spinous process profiles.
- The mean RMSE between MRI and 3DSS sagittal profiles was 9.8mm (SD 4.2mm), with good curvature matching in seven subjects.
Conclusions:
- 3D surface scanning (3DSS) demonstrates potential for measuring internal changes in sagittal spinal curvature.
- Surface markers may offer a useful, non-invasive method for assessing skeletal changes and spinal topography.
