Gamma-Ray Computational Ghost Imaging Based on Rotational Modulation Method

Computational Ghost Imaging (CGI) holds great promise for Gamma-ray imaging due to its advantages of low cost, reduced radiation dose, and high resolution. However, conventional CGI systems require numerous sub-coding plates for modulation, which increases system complexity and manufacturing difficulty. Inspired by the rotational scanning principle of computed tomography (CT), this study proposes a novel gamma-ray CGI method based on rotational modulation. The proposed approach exploits spatial variations introduced through rotation, thereby achieving multiple modulation effects with only a small number of coding plates. Numerical simulations and Monte Carlo experiments demonstrate that the method enables high-quality imaging of N×N-resolution objects using only N sub-coding plates under both full-sampling and under-sampling conditions. Furthermore, we present the first experimental demonstration of gamma-ray CGI using a rotational modulation scheme. The system achieved 16×16-resolution imaging with a PSNR of 12.93 dB for simple objects, and it produced distinguishable reconstructions of multiple targets with different densities. The results confirm that the proposed method significantly reduces the number of required sub-coding plates while maintaining image quality, offering a practical and cost-effective solution for lightweight gamma-ray CGI systems.