Research on Correction Method for Fan-Shaped Beam Digital Radiography Imaging with Linear Array Detectors

Abstract

Imaging with linear array detectors based on fan-shaped X-ray beams can lead to abnormal data and image distortion due to the splicing of detector head (DH) boards. To solve the problems, in this paper a correction method is proposed for digital radiography (DR) imaging with linear array detectors based on fan-shaped X-ray beams. Firstly, the dynamic scaling method is employed to eliminate numerical bias of the linear regression fitting, thereby correcting the abnormal projection data. This method effectively reduces vertical bright line interference in imaging results and improves the quality of DR images. Secondly, to address the issue of position diffusion in DR images, the arcdegree adaptive compression (ADAC) algorithm is used to determine the optimal imaging area, adaptively correct the position relationship between the detection array and the DR image pixels, and reconstruct images proportionate to the size of the object under test. The experimental results indicate that the method proposed in this paper can effectively remove the abnormal values caused by DH boards splicing and generate DR images consistent with the original object scale, providing an effective data correction and image reconstruction method for imaging with linear array detectors based on fan-shaped X-ray beams.