Abstract
Radiation protection is central to ensure nuclear safety, proper operating conditions, and the prevention of accidents in nuclear facilities. Increasingly, path planning is being used to keep radiation risks as low as reasonably achievable (ALARA). However, most of the approach is sub-optimal, because they rely on exposure and roentgen definition only when considering different types of radiation and materials. Moreover, additional concepts are needed to determine the energy deposited in different body parts. In this study, we present an Optimized Dynamic Algorithm (ODA) for minimum dose path-planning in a radioactive environment based on photon interaction with matter and shortest path algorithm. The proposed ODA can estimate the energy flux per unit area reaching a standard adult from a radiation source using the probability of photon absorption in the air. The approach also utilizes the Compton effect of the energy flux to determine the fraction of energy transferred to electrons in the body. Two radioactive scenarios are investigated to evaluate the performance of the proposed ODA. The significant improvement obtained from the ODA is presented in this paper.
