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.
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.