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Predicting spinal column profile from surface topography via 3D non-contact surface scanning

INTRODUCTION: 3D Non-Contact surface scanning (3DSS) is used in both biomechanical and clinical studies to capture accurate 3D images of the human torso, and to better understand the shape and posture of the spine–both healthy and pathological. This study sought to determine the efficacy and accurac...

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Autores principales: Rayward, Lionel, Pearcy, Mark, Izatt, Maree, Green, Daniel, Labrom, Robert, Askin, Geoffrey, Little, J. Paige
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035928/
https://www.ncbi.nlm.nih.gov/pubmed/36952526
http://dx.doi.org/10.1371/journal.pone.0282634
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author Rayward, Lionel
Pearcy, Mark
Izatt, Maree
Green, Daniel
Labrom, Robert
Askin, Geoffrey
Little, J. Paige
author_facet Rayward, Lionel
Pearcy, Mark
Izatt, Maree
Green, Daniel
Labrom, Robert
Askin, Geoffrey
Little, J. Paige
author_sort Rayward, Lionel
collection PubMed
description INTRODUCTION: 3D Non-Contact surface scanning (3DSS) is used in both biomechanical and clinical studies to capture accurate 3D images of the human torso, and to better understand the shape and posture of the spine–both healthy and pathological. This study sought to determine the efficacy and accuracy of using 3DSS of the posterior torso, to determine the curvature of the spinal column in the lateral lying position. METHODS: A cohort of 50 healthy adults underwent 3DSS and Magnetic Resonance Imaging (MRI) to correlate the contours of the external spine surface with the internal spinal column. The correlation analysis was composed of two phases: (1) MRI vertebral points vs MRI external spine surface markers; and (2) MRI external spine surface markers vs 3DSS external spine surface markers. The first phase compared the profiles of fiducial markers (vitamin capsules) adhered to the skin surface over the spinous processes against the coordinates of the spinous processes–assessing the linear distance between the profiles, and similarity of curvature, in the sagittal and coronal planes. The second phase compared 3DSS external spine surface markers with the MRI external spine surface markers in both planes, with further qualitative assessment for postural changes. RESULTS: The distance between the MRI vertebral points and MRI external spine surface markers showed strong statistically significant correlation with BMI in both sagittal and coronal planes. Kolmogorov-Smirnov (KS) tests showed similar no significant difference in curvature, k, in almost all participants on both planes. In the second phase, the coronal 3DSS external spine surface profiles were statistically different to the MRI external spine surface markers in 44% of participants. Qualitative assessment showed postural changes between MRI and 3DSS measurements in these participants. CONCLUSION: These study findings demonstrate the utility and accuracy of using anatomical landmarks overlaid on the spinous processes, to identify the position of the spinal bones using 3DSS. Using this method, it will be possible to predict the internal spinal curvature from surface topography, provided that the thickness of the overlaying subcutaneous adipose layer is considered, thus enabling postural analysis of spinal shape and curvature to be carried out in biomechanical and clinical studies without the need for radiographic imaging.
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spelling pubmed-100359282023-03-24 Predicting spinal column profile from surface topography via 3D non-contact surface scanning Rayward, Lionel Pearcy, Mark Izatt, Maree Green, Daniel Labrom, Robert Askin, Geoffrey Little, J. Paige PLoS One Research Article INTRODUCTION: 3D Non-Contact surface scanning (3DSS) is used in both biomechanical and clinical studies to capture accurate 3D images of the human torso, and to better understand the shape and posture of the spine–both healthy and pathological. This study sought to determine the efficacy and accuracy of using 3DSS of the posterior torso, to determine the curvature of the spinal column in the lateral lying position. METHODS: A cohort of 50 healthy adults underwent 3DSS and Magnetic Resonance Imaging (MRI) to correlate the contours of the external spine surface with the internal spinal column. The correlation analysis was composed of two phases: (1) MRI vertebral points vs MRI external spine surface markers; and (2) MRI external spine surface markers vs 3DSS external spine surface markers. The first phase compared the profiles of fiducial markers (vitamin capsules) adhered to the skin surface over the spinous processes against the coordinates of the spinous processes–assessing the linear distance between the profiles, and similarity of curvature, in the sagittal and coronal planes. The second phase compared 3DSS external spine surface markers with the MRI external spine surface markers in both planes, with further qualitative assessment for postural changes. RESULTS: The distance between the MRI vertebral points and MRI external spine surface markers showed strong statistically significant correlation with BMI in both sagittal and coronal planes. Kolmogorov-Smirnov (KS) tests showed similar no significant difference in curvature, k, in almost all participants on both planes. In the second phase, the coronal 3DSS external spine surface profiles were statistically different to the MRI external spine surface markers in 44% of participants. Qualitative assessment showed postural changes between MRI and 3DSS measurements in these participants. CONCLUSION: These study findings demonstrate the utility and accuracy of using anatomical landmarks overlaid on the spinous processes, to identify the position of the spinal bones using 3DSS. Using this method, it will be possible to predict the internal spinal curvature from surface topography, provided that the thickness of the overlaying subcutaneous adipose layer is considered, thus enabling postural analysis of spinal shape and curvature to be carried out in biomechanical and clinical studies without the need for radiographic imaging. Public Library of Science 2023-03-23 /pmc/articles/PMC10035928/ /pubmed/36952526 http://dx.doi.org/10.1371/journal.pone.0282634 Text en © 2023 Rayward et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rayward, Lionel
Pearcy, Mark
Izatt, Maree
Green, Daniel
Labrom, Robert
Askin, Geoffrey
Little, J. Paige
Predicting spinal column profile from surface topography via 3D non-contact surface scanning
title Predicting spinal column profile from surface topography via 3D non-contact surface scanning
title_full Predicting spinal column profile from surface topography via 3D non-contact surface scanning
title_fullStr Predicting spinal column profile from surface topography via 3D non-contact surface scanning
title_full_unstemmed Predicting spinal column profile from surface topography via 3D non-contact surface scanning
title_short Predicting spinal column profile from surface topography via 3D non-contact surface scanning
title_sort predicting spinal column profile from surface topography via 3d non-contact surface scanning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035928/
https://www.ncbi.nlm.nih.gov/pubmed/36952526
http://dx.doi.org/10.1371/journal.pone.0282634
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