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Permanent link (DOI): https://doi.org/10.7939/R3RB6W963

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Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis Open Access

Descriptions

Other title
Subject/Keyword
Asymmetry Analysis
Adolescent Idiopathic Scoliosis
Monitoring
Classification Tree Analysis
Surface Topography
Classification
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Komeili, Amin
Supervisor and department
El-Rich, Marwan (Civil and Environmental Engineering)
Adeeb,Samer (Civil and Environmental Engineering)
Examining committee member and department
Raboud, Don (Mechanical Engineering)
Cheriet, Farida (Computer Engineering, Ecole Polytechnique de Montreal)
Mohamed, yasser (Civil and Environmental Engineering)
El-Rich, Marwan (Civil and Environmental Engineering)
Parent, Eric (Physical Therapy)
Adeeb, Samer (Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Structural Engineering
Date accepted
2014-08-29T14:14:15Z
Graduation date
2014-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
The radiation dose and the associated lifetime risk of developing cancer is a problem justifying the use of surface topography (ST) as an alternative to radiographs for monitoring scoliosis. The current ST methods mainly rely on marker placement and fail to describe the 3D aspect of the scoliosis deformity. This thesis describes research and development of a novel method for assessing, quantifying, and monitoring the torso deformities based on their symmetry and curvature. We present a new 3D asymmetry analysis that discloses the area of abnormality in a geometry using contours of deviation. Its application in biomedical image analysis of torso to quantifying and monitoring torso deformity is described. The deformity pattern of the analyzed torsos are categorized using the classification system. The reliability of the classification system along with its correlation to the radiograph measurement are investigated. Internal characteristics observed in radiographs such as magnitude, number, and location of the scoliosis curve are estimated using the ST measurements. The difference of ST measurements between two successive acquisitions, with one year gap between, is used to determine the change of the thoracic/thoracolumbar and lumbar scoliosis curves. The capability of the ST measurements in classifying the scoliosis curves into progression and non-progression group is assessed with the aim of replacing some of the X-ray acquisition used to monitor patients with adolescent idiopathic scoliosis.
Language
English
DOI
doi:10.7939/R3RB6W963
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
A. Komeili, L. Westover, E. Parent, M. Moreau, M. El-Rich and S. Adeeb, "Surface topography asymmetry maps categorizing external deformity in scoliosis," The Spine Journal, 2014.A. Komeili, E. Parent, M. El-Rich and S. Adeeb, "Monitoring the thoracic/thoracolumbar scoliosis curves progression using surface topography asymmetry analysis of the torso in adolescents," in IMAST 21st International Meeting on Advanced Spine Techniques, Valencia,Spain, 2014, pp. 144.A. Trovato, A. Komeili, L. Westover, E. Parent, M. Moreau, S. Adeeb and E. Sepúlveda, "Examination of the breast asymmetry associated with adolescent idiopathic scoliosis using surface topography methods," Scoliosis, vol. 8, pp. 1-2, 09/18, 2013.A. Komeili, L. Westover, E. F. Sepulveda, E. Parent, M. Moreau, M. El-Rich and S. Adeeb, "Assessment of torso deformities using 3D markerless asymmetry analysis and its clinical applications," Scoliosis, vol. 8, 2013.

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