Journal article
Characterization of the age-dependent shape of the pediatric thoracic spine and vertebrae using generalized procrustes analysis
Journal of biomechanics, v 63, pp 32-40
03 Oct 2017
PMID: 28874278
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Generalized Procrustes Analysis (GPA) is a superimposition method used to generate size-invariant distributions of homologous landmark points. Several studies have used GPA to assess the threedimensional (3D) shapes of or to evaluate sex-related differences in the human brain, skull, rib cage, pelvis and lower limbs. Previous studies of the pediatric thoracic vertebrae suggest that they may undergo changes in shape as a result of normative growth. This study uses GPA and second order polynomial equations to model growth and age-and sex-related changes in shape of the pediatric thoracic spine. We present a thorough analysis of the normative 3D shape, size, and orientation of the pediatric thoracic spine and vertebrae as well as equations which can be used to generate models of the thoracic spine and vertebrae for any age between 1 and 19 years. Such models could be used to create more accurate 3D reconstructions of the thoracic spine, generate improved age-specific geometries for finite element models (FEMs) and used to assist clinicians with patient-specific planning and surgical interventions for spine deformity. (C) 2017 Elsevier Ltd. All rights reserved.
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Details
- Title
- Characterization of the age-dependent shape of the pediatric thoracic spine and vertebrae using generalized procrustes analysis
- Creators
- James R. Peters - Drexel UniversityRobert M. Campbell - Children's Hospital of PhiladelphiaSriram Balasubramanian - Drexel University
- Publication Details
- Journal of biomechanics, v 63, pp 32-40
- Publisher
- Elsevier
- Number of pages
- 9
- Grant note
- Scoliosis Research Society (SRS) New Investigator Research Grant
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000414818400004
- Scopus ID
- 2-s2.0-85028682329
- Other Identifier
- 991019167637604721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Biophysics
- Engineering, Biomedical