A. Kalender, R. Hebel, and J. Ebersberger, Reduction of CT artifacts caused by metallic implants., Radiology, vol.164, issue.2, pp.576-577, 1987.
DOI : 10.1148/radiology.164.2.3602406

G. Robert, H. Michael, and . David, Artifact analysis and reconstruction improvement in helical cardiac cone beam CT, IEEE Transactions on Medical Imaging, vol.23, issue.9, pp.1150-1164, 2004.

J. Zhang, L. Wang, and . Xing, Metal artifact reduction in x-ray computed tomography (CT) by constrained optimization, Medical Physics, vol.59, issue.2, pp.701-711, 2011.
DOI : 10.1002/cpa.20124

D. Lemmens, J. Faul, and . Nuyts, Suppression of Metal Artifacts in CT Using a Reconstruction Procedure That Combines MAP and Projection Completion, IEEE Transactions on Medical Imaging, vol.28, issue.2, pp.250-260, 2009.
DOI : 10.1109/TMI.2008.929103

D. Chen, C. Gao, and . Nie, Bayesian statistical reconstruction for low-dose X-ray computed tomography using an adaptive-weighting nonlocal prior, Computerized Medical Imaging and Graphics, vol.33, issue.7, pp.495-500, 2009.
DOI : 10.1016/j.compmedimag.2008.12.007

W. Gu, L. Zhang, G. Q. Yu, Y. X. Xing, and Z. Q. Chen, X-ray CT metal artifacts reduction through curvature based sinogram inpainting, Journal of X-Ray Science and Technology, vol.14, issue.2, pp.73-82, 2006.
DOI : 10.1117/12.650137

J. H. Veldkamp, R. M. Joemai, A. J. Van-der-molen, and J. Geleijns, Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT, Medical Physics, vol.34, issue.2, pp.620-628, 2010.
DOI : 10.1118/1.3276777

Y. Prell, M. Kyriakou, W. A. Beister, and . Kalender, A novel forward projection-based metal artifact reduction method for flat-detector computed tomography, Physics in Medicine and Biology, vol.54, issue.21, pp.6575-6591, 2009.
DOI : 10.1088/0031-9155/54/21/009

Y. Prell, T. Kyriakou, A. Struffert, and W. A. Kalender, Metal Artifact Reduction for Clipping and Coiling in Interventional C-Arm CT, American Journal of Neuroradiology, vol.31, issue.4, pp.634-639, 2010.
DOI : 10.3174/ajnr.A1883

R. Meyer, M. Raupach, B. Lell, M. Schmidt, and . Kachelrieß, Normalized metal artifact reduction (NMAR) in computed tomography, Medical Physics, vol.31, issue.4, pp.5482-5493, 2010.
DOI : 10.1118/1.3484090

Y. F. Zhang, J. R. Pu, Y. Hu, Q. L. Liu, . L. Chen et al., Efficient CT Metal Artifact Reduction Based on Fractional-Order Curvature Diffusion, Computational and Mathematical Methods in Medicine, vol.38, issue.12, 2011.
DOI : 10.1109/TIP.2006.877067

L. Bal and . Spies, Metal artifact reduction in CT using tissue-class modeling and adaptive prefiltering, Medical Physics, vol.14, issue.8, pp.2852-2859, 2006.
DOI : 10.1088/0031-9155/49/24/001

W. Chen, X. Chen, and . Yin, Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods, European Journal of Radiology, vol.80, issue.2, 2010.
DOI : 10.1016/j.ejrad.2010.07.003

B. Buades and J. M. Coll, A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, pp.490-530, 2005.
DOI : 10.1137/040616024

URL : https://hal.archives-ouvertes.fr/hal-00271141

J. Chen, Q. Ma, L. Feng, P. Luo, W. Shi et al., Nonlocal Prior Bayesian Tomographic Reconstruction, Journal of Mathematical Imaging and Vision, vol.4, issue.4, pp.133-146, 2008.
DOI : 10.1007/s10851-007-0042-5

V. Kharlamov and . Podlozhnyuk, Image Denoising 17 Accelerating MATLAB with CUDA Using MEX Files, Tech. Rep, 2007.

Y. S. Chen, W. Li, L. M. Yu, W. Luo, C. Chen et al., Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model, Multiscale Modeling & Simulation, vol.9, issue.4, pp.1399-1419, 2011.
DOI : 10.1137/100814184

URL : https://hal.archives-ouvertes.fr/inserm-00656236

W. Lu and W. F. Chen, Image segmentation based on mutual information, Chinese Journal of Computers, vol.29, issue.2, pp.296-301, 2006.

M. Rigau, M. Feixas, A. Sbert, I. Bardera, and . Boada, Medical Image Segmentation Based on Mutual Information Maximization, Proceeding of the 7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI '04), pp.135-142, 2004.
DOI : 10.1007/978-3-540-30135-6_17

J. Bertsimas and . Tsitsiklis, Simulated Annealing, Statistical Science, vol.8, issue.1, pp.10-15, 1993.
DOI : 10.1214/ss/1177011077

P. Criminisi, K. Pérez, and . Toyama, Region Filling and Object Removal by Exemplar-Based Image Inpainting, IEEE Transactions on Image Processing, vol.13, issue.9, pp.1200-1212, 2004.
DOI : 10.1109/TIP.2004.833105

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.9434

J. Wong and . Orchard, A nonlocal-means approach to exemplar-based inpainting, 2008 15th IEEE International Conference on Image Processing, pp.2600-2603, 2008.
DOI : 10.1109/ICIP.2008.4712326

G. Wei, L. Jinghuai, and . Kang, Structure-Adaptive anisotropic filter with local structure tensors, Proceedings of the 2nd International Symposium on Intelligent Information Technology Application (IITA '08), pp.1005-1010, 2008.

O. Meilinger, C. Schützsch¨schütz, E. W. Schmidgunst, and . Lang, Projective segmentation of metal implants in cone beam computed tomographic images, Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2011.

S. Li, Y. Chen, and Y. N. Hu, Strategy of computed tomography sinogram inpainting based on sinusoid-like curve decomposition and eigenvector-guided interpolation, Journal of the Optical Society of America A, vol.29, issue.1, pp.153-163, 2012.
DOI : 10.1364/JOSAA.29.000153

URL : https://hal.archives-ouvertes.fr/inserm-00677987