Adaptive low-dose CT reconstruction

With computed tomography (CT) technology more and more widely used in clinical applications, low-dose CT arouses people´s attention gradually. In this paper, we propose an adaptive low-dose CT reconstruction framework. This framework is based on the iterative algorithm, and tries to find the fewest projection angles adaptively insuring the image quality, achieves the goal of reducing the radiation dose at last. The simulation results show that this adaptive low-dose CT reconstruction framework can find the fewest projection angles adaptively according to the requirement of image quality.