In vivo monitoring of longitudinal changes in bone micro-architecture using high-resolution peripheral computed tomography

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dc.contributor.advisorVigmond, Edward J.
dc.contributor.advisorBoyd, Steven
dc.contributor.authorPauchard, Yves
dc.date.accessioned2017-12-18T22:30:41Z
dc.date.available2017-12-18T22:30:41Z
dc.date.issued2012
dc.descriptionBibliography: p. 205-218en
dc.descriptionMany pages are in colour.en
dc.descriptionIncludes copies of copyright permission. Original copies with original Partial Copyright Licence.en
dc.description.abstractOsteoporosis is a disease characterized by low bone quality and increased risk of fracture. In order to improve osteoporosis treatment, it is essential to monitor bone quality and its changes over time in healthy, diseased and treated bones. V/ith the recent development of in vivo high-resolution peripheral quantitative computed tomography (HR-pQCT) it became possible to capture bone micro-architecture, an important determinant of bone quality, in humans. The aim of this dissertation was to propose new ways to analyze the resulting time series of three-dimensional (3D) image data to gain novel insight into bone behaviour. In a first step. a novel method for tracking and predicting micro-architectural changes using deformable image registration was validated. Applied to an osteoporotic and healthy pre-clinical model, this study demonstrated successful prediction of 3D archi­tecture based on a time series of images without knowledge of disease state. Prior to extending the monitoring of changes to human bone, the problem of subject motion artifacts in HR-pQCT imaging was addressed. An automatic, fast and objective method was developed to quantify three separate components of subject motion using projection data. \i\Tith this tool, guidelines for image quality management in the pres­ence of subject motion were established. Understanding and managing these artifacts is pivotal for guaranteeing consistent image quality in large multi-centre studies. In ad­dition to motion quantification, a novel method for compensating movement artifacts was developed. The proposed method for motion compensation paves the way for future research into improving image quality, potentially increasing viable data benefiting drug trials and studies of rare diseases with small sample sizes. Lastly, in order to monitor bone micro-architecture changes in humans, an automated registration methodology was devised to align 3D HR-pQCT images and techniques to visualize local architectural changes were developed. It was possible to visualize local changes due to normal bone remodelling, and in response to osteoporosis treatment, aiding interpretation of changes in traditional bone quality parameters. The developed methods form the foundation for tracking bone adaptation over time, ultimately further­ing our understanding of bone mechanisms in humans.
dc.format.extentxvii, 234 leaves : ill. ; 30 cm.en
dc.identifier.citationPauchard, Y. (2012). In vivo monitoring of longitudinal changes in bone micro-architecture using high-resolution peripheral computed tomography (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/4719en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/4719
dc.identifier.urihttp://hdl.handle.net/1880/105720
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleIn vivo monitoring of longitudinal changes in bone micro-architecture using high-resolution peripheral computed tomography
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 2092 627942964
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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