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Recalage non-linéaire d'images TEP et CT du thorax pour la caractérisation des tumeurs : application à la radiothérapie

Abstract : The main topic of this PhD thesis is to combine the information coming from PET (Positron Emission Tomography) and CT (Computed Tomography) images to locate, with a good quality and in a robust way, the tumors placed in the thoracic regions. For this, a priori information about the anatomy and the spatial organization of the organs inside the body is integrated at different levels. The first step consists in segmenting organs which are visible in both modalities by exploiting their structural relative positions and a priori anatomical knowledge. In particular, we have developed an original method for segmenting the heart on non-contrast CT images. The main contribution of this thesis is the registration method with constraints that we have developed. This approach relies on landmarks, defined automatically on the surfaces of the lungs, and on rigidity constraints on the pathologies. The rigidity constraints on the tumors guarantee that no information provided by the PET image about their shape and their grey levels is lost. Another originality of this PhD thesis is the introduction of a dynamic model of breathing in the registration method. This contribution seems extremely interesting because it makes it possible to find the trajectory that the tumor follows during the respiratory cycle and, in this way, registration could be performed with a better precision.
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https://pastel.archives-ouvertes.fr/pastel-00003214
Contributor : Ecole Télécom Paristech <>
Submitted on : Wednesday, January 16, 2008 - 8:00:00 AM
Last modification on : Friday, July 31, 2020 - 10:44:05 AM
Long-term archiving on: : Friday, October 19, 2012 - 12:10:23 PM

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  • HAL Id : pastel-00003214, version 1

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Antonio Moreno Ingelmo. Recalage non-linéaire d'images TEP et CT du thorax pour la caractérisation des tumeurs : application à la radiothérapie. domain_other. Télécom ParisTech, 2007. English. ⟨pastel-00003214⟩

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