88 / 2025-03-13 14:38:03

Enhancing the Accuracy of Energy-Selective Gamma-Ray Imaging with Image Restoration

Image restoration,Geant4 simulation,Energy resolution

The application of intense current transient pulse radiation fields encompasses a wide range of fields, from scientific research to industrial application. The generation and application of this radiation have become an important direction of current research. Ray detection technology (such as neutron detection, gamma ray detection, etc.) plays a key role in understanding the working state, physical mechanism and process of different pulse radiation devices. With a new energy-selective gamma ray imaging technique based on magnetic lens, the energy and spatial information of pulsed gamma rays can be obtained simultaneously. However, due to the limitations of angle and energy dispersion, the detection efficiency and spatial resolution of the system cannot be simultaneously optimized, which limits its practical application. To address these limitations, a comprehensive approach combining system optimization and imaging restoration has been proposed to enhance the performance of energy-selective gamma-ray imaging. This study investigates the impact of beam-limiting aperture size on both detection efficiency and spatial resolution within an energy-selective gamma-ray imaging system. Utilizing Geant4 simulations, an imaging dataset was constructed for the energy-selective gamma-ray imaging system. Furthermore, a deblurring generative adversarial network incorporating a weighted bidirectional feature pyramid was developed. The experimental results indicate that by optimizing the beam-limiting aperture size to Dx = 60 mm and Dy = 30 mm, the imaging system's detection efficiency can be enhanced by approximately fourfold. Additionally, the proposed algorithm effectively improves the system's spatial resolution while successfully addressing spatial variation characteristics. These findings demonstrate significant advancements in the performance of energy-selective gamma-ray imaging systems, potentially expanding their practical applications in various scientific and industrial domains.