A highly accurate quantum optimization algorithm for CT image reconstruction based on sinogram patterns.

ABSTRACT: Computed tomography (CT) has been developed as a nondestructive technique for observing minute internal images in samples. It has been difficult to obtain photorealistic (clean or clear) CT images due to various unwanted artifacts generated during the CT scanning process, along with the limitations of back-projection algorithms. Recently, an iterative optimization algorithm has been developed that uses an entire sinogram to reduce errors caused by artifacts. In this paper, we introduce a new quantum algorithm for reconstructing CT images. This algorithm can be used with any type of light source as long as the projection is defined. Assuming an experimental sinogram produced by a Radon transform, to find the CT image of this sinogram, we express the CT image as a combination of qubits. Afte

SUBMITTER: Jun K 

PROVIDER: S-EPMC10474150 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature