An image reconstruction model and hybrid algorithm for limited-angle projection data

More and more applications in industrial or medical CT have to adopt limited-angle projection data, such as restricted scanning, decreasing radiation dose and so on. Traditional reconstruction methods for incomplete projection data, including analytic reconstruction and iterative reconstruction, can´t meet the demand of limited-angle reconstruction. To deal with TV reconstruction model´s imbalance in reconstructing image information of different direction, this paper proposes a reconstruction model and its corresponding hybrid algorithm, which utilize horizontal direction gradient to assist TV reconstruction in vertical direction. Experiments results demonstrate the proposed method´s effectiveness and performance in image reconstruction from limited-angle projection data.