Contrast evaluation of digital industrial radiography images using FLUKA simulation

Monte Carlo method is widely used for simulation of industrial and medical radiography due to its powerful ability to simulate statistical phenomena such as radiation generation and transport, and detection processes. Digital radiography is practically applied in two branches of computational radiography (CR) and direct radiography (DR). In this study, computational radiography simulation using the FLUKA Monte Carlo code was developed to provide a framework for studying image contrast as one of the most important parameters of image quality. To investigate the contrast a standard aluminum sensitivity component made of ASTM 1647 standard was used. The simulation of this gauge, along with a complete simulation of the X-ray generator and imaging plate, has been done to assess the image contrast, and and a method has been presented to examine the image contrast. In order to validate the proposed method, practical experiments have been carried out on the contrast sensitivity standard gauge. The simulation results obtained through the proposed method are in good agreement with the results of practical experiments.