X-ray tomography (CT) is a well-known technique providing volumetric information about the examined object. Applications are in the medical diagnostic domain, non destructive testing of industrial samples, and security. The emergency of energy resolved semiconductor detectors allows an evolution of this technique, providing enhanced contrasted and material specific volumes. The CEA-LETI “Detectors” Lab has a long experience in the development of such detectors and associated methods. The objective of the proposed thesis in applied mathematics or image processing is the development of new methods for the exploitation of spectral data acquired in scanner mode, these data containing more information but being redundant and noisy. A specific reconstruction algorithm will be proposed. Statistical methods will be considered, using available priors (physics, detector model). Particularly, the case of a tomographic system combining variable detection elements will be investigated: different pixels within one detector, different functioning mode for a single pixel. Developed methods will be implemented and evaluated on both simulated data and experimental ones, and their interest quantified.

This position is open until it is filled.

Department: Département Microtechnologies pour la Biologie et la Santé (LETI)
Laboratory: Laboratoire Détecteurs
Start Date: 01-09-2015
ECA Code: SL-DRT-15-0541
Contact: veronique.rebuffel<στο>cea.fr