Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence)
Location: Grenoble ou Lyon
Keywords: Ghost Tomography, Computational X-rays, Image Reconstruction, Deep Learning.
Overview: This doctoral project aims to develop a groundbreaking 3D imaging technique for non-destructive elemental analysis by merging the principles of single-pixel (ghost) imaging (GI) with X-ray fluorescence (XRF) computed tomography (ghost tomography, GT). Conventional XRF imaging faces significant limitations in detection efficiency, energy resolution, and scalability, particularly for large samples or long exposure times. This project will overcome these challenges by creating a novel computational imaging modality, building upon the recent demonstration of XRF-GI in both laboratory
and synchrotron settings.
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