TY  - JOUR
T1  - Metal Artifact Reduction in CT Images through Sinogram Data Inpainting
AU  - Benammar, Abdessalem
AU  - Allag, Aicha
AU  - Araar, Imad
AU  - Benyahıa, Ahmed
AU  - Draı, Redouane
PY  - 2023
DA  - December
DO  - 10.55549/epstem.1412520
JF  - The Eurasia Proceedings of Science Technology Engineering and Mathematics
JO  - EPSTEM
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2602-3199
SP  - 770
EP  - 779
VL  - 26
LA  - en
AB  - When metallic implants are present within the human body, they frequently introduce metallic artifacts into X-ray CT images. These artifacts can lead to significant distortions, obscuring critical information and potentially degrading the quality of the CT images, thereby impacting diagnostic accuracy for clinicians. In recent years, there has been extensive research aimed at mitigating the challenges posed by metallic artifacts, resulting in the development of multiple solutions to address this issue. In this study, we present an efficient approach for artifact removal. Our method involves utilizing the image reconstructed from a sinogram affected by artifacts to generate a synthesized sinogram, deviating from the conventional acquisition of sinogram data. The key stages of our approach encompass segmentation, sinogram gap-filling, and subsequent image enhancement. To achieve rapid segmentation, we employed a K-means classification method. For the retrieval of missing data, we utilized an interpolation algorithm based on a penalized least squares method. In the final phase of image reconstruction enhancement, we implemented an advanced contrast equalization technique to restore image intensities to their inherent dynamic range. Through rigorous verification using both simulated and clinical data, our method consistently demonstrates a remarkable improvement in image quality.
KW  - Computed tomography
KW  - Image reconstruction
KW  - Metal artifact
KW  - Segmentation
KW  - Inpainting sinogram
KW  - Contrast enhancement
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CR  - Arabi H. & Zaidi H., (2021). Deep learning–based metal artefact reduction in PET/CT imaging, European Radiology, https://doi.org/10.1007/s00330-021-07709-z.
CR  - Bamberg, F., Dierks, A., Nikolaou, K., Reiser, M.F., Becker, C.R., Johnson T.R., (2011). Metal artefact reduction by dual energy computed tomography using monoenergetic extrapolation, Eur Radiol, 7, 1424-1429.
UR  - https://doi.org/10.55549/epstem.1412520
L1  - https://dergipark.org.tr/en/download/article-file/3631125
ER  -