In case of accidental exposure to radiation, it is necessary to establish as soon as
possible a dosimetry report for each victim. In most cases, this report is based on
medical images of the victim, enabling the construction of a personalized realistic
numerical model, also called a voxel phantom. Unfortunately it is not always possible to
perform the medical imaging of the victim since the technology may be unavailable or to
avoid additional exposure to radiation. In such cases, the commonly used method is to
represent the victim with a numerical model like the “Reference Man”, a voxelized phantom
representative of the average male individual. The treatment accuracy depends on the
diagnosis precision and, consequently, on the similarity of the phantom and/to the victim.
A precise dosimetry evaluation requires a personalised and realistic phantom whose
biometric characteristics match the victim; such model is often unavailable. The
Case-Based Reasoning (CBR) is a problem solving method for the conception of intelligent
systems. It imitates the analysis, understanding and reconstruction of the human
intelligence. The ReEPh project (Research of Equivalent Phantom) proposes to use the CBR
principles to retrieve from a set of phantoms, the most adapted one to the irradiated
victim. For this study, the ReEPh platform retrieves, stores and compares existing
phantoms to a victim. A graphic interface enables the user to compare victim’s
characteristics to the ones of the most similar phantoms available in the database. This
defines a similarity index presenting the equivalence between the victim and the suggested
phantom. Moreover, a confidence index is also assessed to define the uncertainty implied
by the RaPC choice procedure.