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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

Computed Tomography (CT) is essential for precise medical diagnostics, yet metal implants often induce disruptive image artifacts. Metal Artifact Reduction (MAR) algorithms have emerged to enhance CT image quality by mitigating these artifacts. This review emphasizes the significance of quantifyin...

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Bibliographic Details
Main Authors: Mohammed Musta, Njiti, Osman, Noor Diyana, Mansor, Mohd Syahir, Rabaiee, Nor Ain, Abdul Aziz, Mohd Zahri
Format: Article
Language:English
English
Published: Elsevier 2024
Subjects:
QC Physics
Online Access:http://irep.iium.edu.my/110682/7/110682_Potential%20of%20Metal%20Artifact%20Reduction%20%28MAR%29.pdf
http://irep.iium.edu.my/110682/13/110682_Potential%20of%20Metal%20Artifact%20Reduction%20%28MAR%29_Scopus.pdf
http://irep.iium.edu.my/110682/
https://www.sciencedirect.com/science/article/abs/pii/S0969806X24000331?via%3Dihub
https://doi.org/10.1016/j.radphyschem.2024.111541
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Internet

http://irep.iium.edu.my/110682/7/110682_Potential%20of%20Metal%20Artifact%20Reduction%20%28MAR%29.pdf
http://irep.iium.edu.my/110682/13/110682_Potential%20of%20Metal%20Artifact%20Reduction%20%28MAR%29_Scopus.pdf
http://irep.iium.edu.my/110682/
https://www.sciencedirect.com/science/article/abs/pii/S0969806X24000331?via%3Dihub
https://doi.org/10.1016/j.radphyschem.2024.111541

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