CT image reconstruction based on combination of iterative reconstruction technique and total variation

Computed tomography (CT) has been extensively studied and widely used for a range of medical applications. The radiation from CT will result in excess radiation exposure to patients, hence the reduction of radiation from CT is essential. The proposed research focused on combining simultaneous algebraic reconstruction technique (SART) and total variation (TV) for CT image reconstruction. This method reconstructs better quality image using less number of projection views corrupted by Poisson noise. TV regularization in image reconstruction make the recovered image quality sharper by preserving the edges or boundaries more accurately. The numerical results show the efficiency of the proposed work in comparison with other existing reconstruction techniques.