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dc.contributor.advisorLichti, Derek D.
dc.contributor.authorAl Durgham, Kaleel Mansour
dc.date2019-06
dc.date.accessioned2019-01-04T19:58:00Z
dc.date.available2019-01-04T19:58:00Z
dc.date.issued2019-01-03
dc.identifier.citationAl-Durgham, K. M. (2019). Photogrammetric Modelling for 3D Reconstruction from a Dual Fluoroscopic Imaging System (Unpublished doctoral thesis). University of Calgary, Calgary, AB.en_US
dc.identifier.urihttp://hdl.handle.net/1880/109416
dc.description.abstractBiplanar videoradiography (BPVR), or clinically referred to as dual fluoroscopy (DF), imaging systems are increasingly being used to study the in-vivo skeletal biomechanics of human and animal locomotion. DF imaging provides a novel solution to quantify the six-degree-of-freedom (6DOF) skeletal kinematics of humans and animals with high accuracy and temporal resolution. Using low-dose X-ray radiation, DF systems provide accurate bone rotation and translation measurements. In this research domain, a DF system comprises two X-ray sources, two image intensifiers and two high-speed video cameras. The combination of these elements allows for the stereoscopic imaging of the bones of a joint at high temporal resolution (e.g., 120-250 Hz), from which bone kinematics can be estimated. The utilization of X-ray-based imaging results in challenges that are uncommon in optical photogrammetry. Unlike optical images, the inherent lack of colour information in DF images complicates fundamental tasks such as the derivation of image observations for the system calibration. Furthermore, the incorporation of an image-intensifier to produce DF images results in high distortion artifacts that are uncommon in optical photogrammetry. The use of image intensifiers also results in non-uniform intensity response in the DF images. Unlike optical images with well-established camera models, the systematic distortion behaviour in DF images is empirically modelled. The novelty in this research work is in providing a complete, scientific, straightforward and accurate photogrammetric framework for deriving 3D measurements from a DF imaging system. This research work provides means for automating the DF calibration procedure and introduces solutions for improving the methodology of 3D reconstruction from DF imaging. A thorough photogrammetric analysis over the system aspects points out the weaknesses in the iii traditional 3D reconstruction procedures and suggests accurate alternatives. The dissertation presents five scientific contributions: (1) a semi-automated methodology to derive the image observations from time series DF calibration images, (2) validation of an empirical DF sensor model (bundle adjustment-based) for the calibration of the DF system and introducing it as a superior replacement for the traditional direct linear transformation-based (DLT) calibration approaches, (3) a rigorous accuracy assessment methodology for the evaluation of the DF system reconstruction capabilities, (4) a novel methodology for the temporal stability analysis of an imaging system calibration parameters, and (5) a virtual-3D-model means to facilitate establishing the alignment between stereoscopic DF image pair and an MRI/CT model (2D-to3D registration).en_US
dc.language.isoenen_US
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.en_US
dc.subjectdual fluoroscopyen_US
dc.subjectphotogrammetric calibrationen_US
dc.subject2D to 3D registrationen_US
dc.subjectaccuracy assessmenten_US
dc.subjectstability analysisen_US
dc.subjectX-ray photogrammetryen_US
dc.subjectbiplanar videoradiographyen_US
dc.subject.classificationEngineeringen_US
dc.titlePhotogrammetric Modelling for 3D Reconstruction from a Dual Fluoroscopic Imaging Systemen_US
dc.typedoctoral thesisen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen
thesis.degree.nameDoctor of Philosophy (PhD)en_US
thesis.degree.disciplineEngineering – Geomaticsen_US
thesis.degree.grantorUniversity of Calgaryen_US
dc.contributor.committeememberKuntze, Gregor
dc.contributor.committeememberWang, Ruisheng
dc.contributor.committeememberShortis, Mark R.
dc.contributor.committeememberBoyd, Steven Kyle
dc.contributor.committeememberRonsky, Janet L.


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Embargoed until: 2019-06-14

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