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Stratégies d’optimisation des protocoles en scanographie pédiatrique

Abstract : For the last 10-years, computed tomography (CT) procedures and their increased use have been a major source for concern in the scientific community. This concern has been the starting point for several studies aiming to optimize the dose while maintaining a diagnostic image quality. In addition, it is important to pay special attention to dose levels for children (age range considered to be from a newborn baby to a 16-y-old patient). Indeed, children are more sensitive to ionizing radiations, and they have a longer life expectancy. An approach to remedy this issue is to optimize the CT procedure by reducing the dose related to a diagnostic image. Optimizing the CT protocols is a very difficult process due to the complexity of the acquisition parameters, starting with the individual patient characteristics, taking into account the available CT device and the required diagnostic image quality. It is practically not feasible to test all of the combinations from the CT protocols in order to obtain a good diagnostic image and an optimal dose value. This PhD project is contributing to the advancement of knowledge by: - Developing a new approach that can minimize the number of testing CT scans examinations while developing a predictive mathematical model allowing radiologists to prospectively anticipate how changes in protocols will affect the image quality and the delivered dose for four models of CT scan (General Electric Discovery 750HD, Toshiba Aquilion One, Siemens Somatom Definition AS and Phillips Brilliance 64). - Setting-up a Generic Optimized Protocol (based on the size of the phantom CATPAHN 600) for four models of CT scan. - Developing a methodology to adapt the GOP to five sizes of pediatric patient using Size Specific Dose Estimate calculation (SSDE). - Evaluating subjective and objective image quality between size-based optimised CT protocol and age-based CT protocols. - Developing a CT protocol optimization tool and a tutorial helping the radiologists in the process of optimization.
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Submitted on : Wednesday, August 2, 2017 - 6:19:45 PM
Last modification on : Saturday, October 8, 2022 - 10:57:06 AM


  • HAL Id : tel-01571534, version 2


Kaddour Rani. Stratégies d’optimisation des protocoles en scanographie pédiatrique. Automatique / Robotique. Université de Lorraine, 2015. Français. ⟨NNT : 2015LORR0282⟩. ⟨tel-01571534v2⟩



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