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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier
2024
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| Subjects: | |
| 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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