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.
An analytical screening algorithm designed to accelerate the projection operator computing process for Compton imaging reconstruction (ARIANE), and a new method to evaluate the operator analytically by deforming voxels using spherical boxes (PROTEUS).
Presentation of research thesis works on $3\gamma$ imaging within the [INPACT](https://www.ec-nantes.fr/engineering-programme-diplome-dingenieur/course-specialisations-yrs-23/engineering-and-digital-sciences-for-art-culture-and-heritage?l=1) professional option "Engineering for art, culture and heritage" at the Ecole Centrale de Nantes.
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.
A Monte Carlo simulator for $3\gamma$ imaging using the XEMIS2 camera, designed to generate synthetic data for the development and evaluation of multi-class reconstruction algorithms developed in CASToR framework.
A Bash script for extracting and formatting the photon cross sections from the [NIST](https://physics.nist.gov/PhysRefData/Xcom/html/xcom1.html) database, which are used in Monte Carlo simulation softwares for $3\gamma$ PET imaging.