Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: A review

Njiti, M.M.; Osman, N.D.; Mansor, M.S.; Rabaiee, N.A.; Abdul Aziz, M.Z.

doi:10.1016/j.radphyschem.2024.111541

Radiation Physics and Chemistry

2024

DOI: 10.1016/j.radphyschem.2024.111541

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Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: A review

M.M. Njiti,

N.D. Osman,

M.S. Mansor

et al.

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Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: A review

Cited by 5 publications

References 60 publications

Plateau stress estimation of aluminum foam by machine learning using X-ray computed tomography images

Plateau stress estimation of aluminum foam by machine learning using X-ray computed tomography images

Evolution of cementing properties of wellbore cement under CO2 geological storage conditions

Advancements in supervised deep learning for metal artifact reduction in computed tomography: A systematic review

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