PhD thesis on statistical tomographic reconstruction for 3-photon imaging and hybrid PET/Compton cameras, with application to the XEMIS2 system.
Extension of the CASToR framework dedicated to multi-class reconstruction of medical images and Fisher information matrix estimation for $3\gamma$ PET/Compton imaging from continuous photon detections.
Bash scripts for generating NEMA NU 4 digital phantoms (sections 3 and 6) and associated masks, with outputs compatible with CASToR and POLLUX workflows.
This contribution addresses the problem of image reconstruction of radioactivity distribution for which the available information arises from several classes of data, each associated with a specific combination of detections
Our contribution focuses at improving the image reconstruction process for specific Compton imaging systems able to detect multiple classes of events, in the field of nuclear imaging.
Inverse problems, statistical reconstruction, optimization and Monte Carlo modelling.