Highly accurate quantum optimization algorithm for CT image reconstructions based on sinogram patterns

Computed tomography has been developed as a non-destructive technique for observing internal images of samples. It was difficult to obtain a clean CT image due to various artifacts generated during scanning and limitations of backprojection. Recently, an iterative optimization algorithm has been developed that uses the entire sinogram to make small errors in various artifacts. In this paper, we introduce a method of representing CT images using a combination of qubits. Each qubit variable can represent the internal structure of a real sample by energy optimization. We tested simple image samples in a quantum annealer and a gated model quantum computer.