Journal Article10.1038/s41598-023-41700-6
A highly accurate quantum optimization algorithm for CT image reconstruction based on sinogram patterns
Kyungtaek Jun
TL;DR: A highly accurate quantum optimization algorithm for CT image reconstruction based on sinogram patterns can reconstruct CT images using a quantum computer.
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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. After acquiring the Radon transform of the undetermined CT image, we combine the actual sinogram and the optimized qubits. The global energy optimization value used here can determine the value of qubits through a gate model quantum computer or quantum annealer. In particular, the new algorithm can also be used for cone-beam CT image reconstruction and for medical imaging.
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Citations
Hybrid adiabatic quantum computing for tomographic image reconstruction -- opportunities and limitations
02 Dec 2022
TL;DR: In this paper , an adiabatic quantum computer and associated hybrid methods are used to solve the reconstruction problem of tomographic images with few measurements and a low signal-to-noise ratio.
Quantum annealing-based computed tomography using variational approach for a real-number image reconstruction
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TL;DR: Quantum annealing-based computed tomography using variational approach for a real-number image reconstruction achieves accurate image reconstruction using a small number of qubits.
1
Quantum annealing-based computed tomography using variational approach for a real-number image reconstruction
Isabell Oberle
- 03 Jun 2023
TL;DR: In this paper , the authors investigated the feasibility of utilizing quantum annealing-based computed tomography (QACT) with current quantum bit levels, and proposed a novel approach to reconstruct images by approximating real numbers using the variational method.
Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies
Merlin A. Nau,A. Hans Vija,Maximilian P. Reymann,W. Gohn,Andreas Konrad Maier +4 more
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•Posted Content
QUBO formulations for system of linear equations
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