The aim of this doctoral thesis is to develop a tool able to automatically provide organs of interest segmentations on computed tomography images using machine learning techniques.

This tool will then be used to calculate organ doses in order to establish personalized dosimetric records in medical imaging. Doses will be calculated using informations obtained from images, radiographic technique and GPU-based Monte Carlo dose calculation algorithm (GPUMCD). Automated pipelines will be implemented to process large amounts of data.

This project permits to better evaluate the exposure of the population to ionizing radiation caused by medical imaging procedures