Multi-Source Translation CT Based Projection Completion Method for ROI Reconstruction

Abstract

Region of interest (ROI) tomography is an effective method to enhance detection efficiency and achieve high-resolution imaging for large-scale objects. However, this imaging protocol will inevitably cause the projections to be truncated, which leads to the ROI image accompanies severe truncation artifacts. Therefore, we proposed a multi-source translation based method for ROI reconstruction (mSTCT-RCT). In this method, rotation computed tomography (RCT) and multi-source translation computed tomography (mSTCT) scanning mode are combined, and the spare global projections obtained by mSTCT is used to complete the ROI projections collected by RCT for eliminating truncation artifacts on the reconstructed results. Experimental results indicates that the proposed method can well eliminate truncation artifacts and improve the quality of image.