Modèles d’identification de tissu basés sur des images acquises avec un tomodensitomètre à double énergie pour des photons à faible énergie en curiethérapie

Authors: Gaudreault, Mathieu
Advisor: Beaulieu, Luc; Verhaegen, Frank
Abstract: Clinical Dual-Energy Computed Tomography (DECT) images provide the determination of the effective atomic number and the electronic density. The purpose of this study is to develop a new assessment model of tissues, named the reduced three elements tissue model, for dose calculations from DECT images in brachytherapy and compare it to a known identification method, assignment through the Mahalanobis distance. Both models are applied to DECT scans of the Gammex RMI 467 phantom and for a subset of 10 human tissues. Dose distributions are calculated from Monte Carlo simulations with a point source having the energy spectrum of 125I. The reduced three elements tissue model provides dose equivalence to reference tissues and is equivalent to the calculation of the Mahalanobis distance. The model constructed can be used as a scheme to assess tissues from DECT images for dose calculation.
Document Type: Mémoire de maîtrise
Issue Date: 2014
Open Access Date: 20 April 2018
Grantor: Université Laval
Collection:Thèses et mémoires

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