J. Xu, K. Taguchi, and B. M. W. Tsui, “Statistical projection completion in x-ray CT using consistency conditions,” IEEE Trans. Med. Imaging 29, 1528–40 (2010).

[CrossRef]
[PubMed]

L. Ritschl, F. Bergner, and M. Kachelriess, “A new approach to limited angle tomography using the compressed sensing framework,” Proc. SPIE 7622, 76222H (2010).

[CrossRef]

J. Tang, B. Nett, and G. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54, 5781–5804 (2009).

[CrossRef]
[PubMed]

C. Lemmens, D. Faul, and J. Nuyts, “Suppression of metal artifacts in CT using a reconstruction procedure that combines MAP and projection completion,” IEEE Trans. Med. Imaging 28, 250–260 (2009).

[CrossRef]
[PubMed]

M. Bertram, J. Wiegert, D. Schafer, T. Aach, and G. Rose, “Directional view interpolation for compensation of sparse angular sampling in cone-beam CT,” IEEE Trans. Med. Imaging 28, 1011–1022 (2009).

[CrossRef]
[PubMed]

X. Duan, L. Zhang, Y. Xing, Z. Chen, and J. Cheng, “Few-view projection reconstruction with an iterative reconstruction re-projection algorithm a TV constraint,” IEEE Trans. Nucl. Sci. 56, 1377–1382 (2009).

[CrossRef]

E. P. A. Constantino and K. B. Ozanyan, “Sinogram recovery for sparse angle tomography using sinusoidal Hough transform,” Meas. Sci. Technol. 19, 094015 (2008).

[CrossRef]

E. Y. Sidky and X. Pan, “Image reconstruction in circular cone-beam computed tomography by constrained total-variation minimization,” Phys. Med. Biol. 53, 4777–4807 (2008).

[CrossRef]
[PubMed]

M. Oehler and T. M. Buzug, “Statistical image reconstruction for inconsistent CT projection data,” Methods Inf. Med. 46, 261–269 (2007).

[CrossRef]
[PubMed]

W. Zbijewski, M. Defrise, M. Viergever, and F. Beekman, “Statistical reconstruction for x-ray CT systems with non-continuous detectors,” Phys. Med. Biol. 52, 403–418 (2007).

[CrossRef]
[PubMed]

A. Zamyatin and N. Satoru, “Extension of the reconstruction field of view and truncation correction using sinogram decomposition,” Med. Phys. 34, 1593–1605 (2007).

[CrossRef]
[PubMed]

J. Gu, L. Zhang, G. Yu, Y. Xing, and Z. Chen, “X-ray CT metal artifacts reduction through curvature based sinogram inpainting,” J. X-Ray Sci. Technol. 14, 73–82 (2006).

R. Chityala, K. R. Hoffmann, S. Rudin, and D. R. Bednarek, “Artifact reduction in truncated CT using sinogram completion,” Proc. SPIE 5747, 2110–2117 (2005).

[CrossRef]

U. Kothe, “Edge and junction detection with an improved structure tensor,” Lect. Notes Comput. Sci. 2781, 25–32(2003).

[CrossRef]

T. F. Chan and J. Shen, “Mathematical models for local nontexture inpaintings,” SIAM J. Appl. Math. 62, 1019–1043(2002).

[CrossRef]

B. Ohnesorge, T. Flohr, K. Schwarz, J. P. Heiken, and K. T. Bae, “Efficient correction for CT image artifacts caused by objects extending outside the scan field of view,” Med. Phys. 27, 39–46(2000).

[CrossRef]
[PubMed]

J. L. Prince and A. S. Willsky, “Constrained sinogram restoration for limited-angle tomography,” Opt. Eng. 29, 535–544(1990).

[CrossRef]

P. M. Joseph and R. A. Schulz, “View sampling requirements in fan beam computed tomography,” Med. Phys. 7, 692–702(1980).

[CrossRef]
[PubMed]

M. Bertram, J. Wiegert, D. Schafer, T. Aach, and G. Rose, “Directional view interpolation for compensation of sparse angular sampling in cone-beam CT,” IEEE Trans. Med. Imaging 28, 1011–1022 (2009).

[CrossRef]
[PubMed]

B. Ohnesorge, T. Flohr, K. Schwarz, J. P. Heiken, and K. T. Bae, “Efficient correction for CT image artifacts caused by objects extending outside the scan field of view,” Med. Phys. 27, 39–46(2000).

[CrossRef]
[PubMed]

J. S. Maltz, S. Bose, H. P. Shukla, and A. R. Bani-Hashemi, “CT truncation artifact removal using water-equivalent thicknesses derived from truncated projection data,” in Proceedings of IEEE Conference on Engineering Medicine and Biology (IEEE, 2007), pp. 2907–2911.

R. Chityala, K. R. Hoffmann, S. Rudin, and D. R. Bednarek, “Artifact reduction in truncated CT using sinogram completion,” Proc. SPIE 5747, 2110–2117 (2005).

[CrossRef]

W. Zbijewski, M. Defrise, M. Viergever, and F. Beekman, “Statistical reconstruction for x-ray CT systems with non-continuous detectors,” Phys. Med. Biol. 52, 403–418 (2007).

[CrossRef]
[PubMed]

L. Ritschl, F. Bergner, and M. Kachelriess, “A new approach to limited angle tomography using the compressed sensing framework,” Proc. SPIE 7622, 76222H (2010).

[CrossRef]

M. Bertram, J. Wiegert, D. Schafer, T. Aach, and G. Rose, “Directional view interpolation for compensation of sparse angular sampling in cone-beam CT,” IEEE Trans. Med. Imaging 28, 1011–1022 (2009).

[CrossRef]
[PubMed]

J. S. Maltz, S. Bose, H. P. Shukla, and A. R. Bani-Hashemi, “CT truncation artifact removal using water-equivalent thicknesses derived from truncated projection data,” in Proceedings of IEEE Conference on Engineering Medicine and Biology (IEEE, 2007), pp. 2907–2911.

M. Oehler and T. M. Buzug, “Statistical image reconstruction for inconsistent CT projection data,” Methods Inf. Med. 46, 261–269 (2007).

[CrossRef]
[PubMed]

T. F. Chan and J. Shen, “Mathematical models for local nontexture inpaintings,” SIAM J. Appl. Math. 62, 1019–1043(2002).

[CrossRef]

J. Tang, B. Nett, and G. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54, 5781–5804 (2009).

[CrossRef]
[PubMed]

X. Duan, L. Zhang, Y. Xing, Z. Chen, and J. Cheng, “Few-view projection reconstruction with an iterative reconstruction re-projection algorithm a TV constraint,” IEEE Trans. Nucl. Sci. 56, 1377–1382 (2009).

[CrossRef]

J. Gu, L. Zhang, G. Yu, Y. Xing, and Z. Chen, “X-ray CT metal artifacts reduction through curvature based sinogram inpainting,” J. X-Ray Sci. Technol. 14, 73–82 (2006).

H. Xue, L. Zhang, Y. Xiao, Z. Chen, and Y. Xing, “Metal artifact reduction in dual energy CT by sinogram segmentation based on active contour model and TV inpainting,” in 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) (IEEE, 2009), pp. 904–908.

[CrossRef]

D. Kincaid and W. Cheney, Numerical Analysis: Mathematics of Scientific Computing, 3rd ed. (American Mathematical Society, 2002).

X. Duan, L. Zhang, Y. Xing, Z. Chen, and J. Cheng, “Few-view projection reconstruction with an iterative reconstruction re-projection algorithm a TV constraint,” IEEE Trans. Nucl. Sci. 56, 1377–1382 (2009).

[CrossRef]

R. Chityala, K. R. Hoffmann, S. Rudin, and D. R. Bednarek, “Artifact reduction in truncated CT using sinogram completion,” Proc. SPIE 5747, 2110–2117 (2005).

[CrossRef]

E. P. A. Constantino and K. B. Ozanyan, “Sinogram recovery for sparse angle tomography using sinusoidal Hough transform,” Meas. Sci. Technol. 19, 094015 (2008).

[CrossRef]

W. Zbijewski, M. Defrise, M. Viergever, and F. Beekman, “Statistical reconstruction for x-ray CT systems with non-continuous detectors,” Phys. Med. Biol. 52, 403–418 (2007).

[CrossRef]
[PubMed]

X. Duan, L. Zhang, Y. Xing, Z. Chen, and J. Cheng, “Few-view projection reconstruction with an iterative reconstruction re-projection algorithm a TV constraint,” IEEE Trans. Nucl. Sci. 56, 1377–1382 (2009).

[CrossRef]

C. Lemmens, D. Faul, and J. Nuyts, “Suppression of metal artifacts in CT using a reconstruction procedure that combines MAP and projection completion,” IEEE Trans. Med. Imaging 28, 250–260 (2009).

[CrossRef]
[PubMed]

B. Ohnesorge, T. Flohr, K. Schwarz, J. P. Heiken, and K. T. Bae, “Efficient correction for CT image artifacts caused by objects extending outside the scan field of view,” Med. Phys. 27, 39–46(2000).

[CrossRef]
[PubMed]

J. Gu, L. Zhang, G. Yu, Y. Xing, and Z. Chen, “X-ray CT metal artifacts reduction through curvature based sinogram inpainting,” J. X-Ray Sci. Technol. 14, 73–82 (2006).

B. Ohnesorge, T. Flohr, K. Schwarz, J. P. Heiken, and K. T. Bae, “Efficient correction for CT image artifacts caused by objects extending outside the scan field of view,” Med. Phys. 27, 39–46(2000).

[CrossRef]
[PubMed]

R. Chityala, K. R. Hoffmann, S. Rudin, and D. R. Bednarek, “Artifact reduction in truncated CT using sinogram completion,” Proc. SPIE 5747, 2110–2117 (2005).

[CrossRef]

H. Kostler, M. Prummer, U. Rude, and J. Hornegger, “Adaptive variational sinogram interpolation of sparsely sampled CT data,” in Proceedings of the 18th International Conference on Pattern Recognition (IEEE, 2006), pp. 778–781.

P. M. Joseph and R. A. Schulz, “View sampling requirements in fan beam computed tomography,” Med. Phys. 7, 692–702(1980).

[CrossRef]
[PubMed]

L. Ritschl, F. Bergner, and M. Kachelriess, “A new approach to limited angle tomography using the compressed sensing framework,” Proc. SPIE 7622, 76222H (2010).

[CrossRef]

A. C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging (IEEE, 1988), pp. 177–201.

A. Kharlamov and V. Podlozhnyuk, “Image denoising,” Tech. Rep. (NVIDIA, Inc., 2007).

D. Kincaid and W. Cheney, Numerical Analysis: Mathematics of Scientific Computing, 3rd ed. (American Mathematical Society, 2002).

H. Kostler, M. Prummer, U. Rude, and J. Hornegger, “Adaptive variational sinogram interpolation of sparsely sampled CT data,” in Proceedings of the 18th International Conference on Pattern Recognition (IEEE, 2006), pp. 778–781.

U. Kothe, “Edge and junction detection with an improved structure tensor,” Lect. Notes Comput. Sci. 2781, 25–32(2003).

[CrossRef]

C. Lemmens, D. Faul, and J. Nuyts, “Suppression of metal artifacts in CT using a reconstruction procedure that combines MAP and projection completion,” IEEE Trans. Med. Imaging 28, 250–260 (2009).

[CrossRef]
[PubMed]

J. S. Maltz, S. Bose, H. P. Shukla, and A. R. Bani-Hashemi, “CT truncation artifact removal using water-equivalent thicknesses derived from truncated projection data,” in Proceedings of IEEE Conference on Engineering Medicine and Biology (IEEE, 2007), pp. 2907–2911.

J. Tang, B. Nett, and G. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54, 5781–5804 (2009).

[CrossRef]
[PubMed]

C. Lemmens, D. Faul, and J. Nuyts, “Suppression of metal artifacts in CT using a reconstruction procedure that combines MAP and projection completion,” IEEE Trans. Med. Imaging 28, 250–260 (2009).

[CrossRef]
[PubMed]

M. Oehler and T. M. Buzug, “Statistical image reconstruction for inconsistent CT projection data,” Methods Inf. Med. 46, 261–269 (2007).

[CrossRef]
[PubMed]

B. Ohnesorge, T. Flohr, K. Schwarz, J. P. Heiken, and K. T. Bae, “Efficient correction for CT image artifacts caused by objects extending outside the scan field of view,” Med. Phys. 27, 39–46(2000).

[CrossRef]
[PubMed]

E. P. A. Constantino and K. B. Ozanyan, “Sinogram recovery for sparse angle tomography using sinusoidal Hough transform,” Meas. Sci. Technol. 19, 094015 (2008).

[CrossRef]

E. Y. Sidky and X. Pan, “Image reconstruction in circular cone-beam computed tomography by constrained total-variation minimization,” Phys. Med. Biol. 53, 4777–4807 (2008).

[CrossRef]
[PubMed]

A. Kharlamov and V. Podlozhnyuk, “Image denoising,” Tech. Rep. (NVIDIA, Inc., 2007).

J. L. Prince and A. S. Willsky, “Constrained sinogram restoration for limited-angle tomography,” Opt. Eng. 29, 535–544(1990).

[CrossRef]

H. Kostler, M. Prummer, U. Rude, and J. Hornegger, “Adaptive variational sinogram interpolation of sparsely sampled CT data,” in Proceedings of the 18th International Conference on Pattern Recognition (IEEE, 2006), pp. 778–781.

L. Ritschl, F. Bergner, and M. Kachelriess, “A new approach to limited angle tomography using the compressed sensing framework,” Proc. SPIE 7622, 76222H (2010).

[CrossRef]

M. Bertram, J. Wiegert, D. Schafer, T. Aach, and G. Rose, “Directional view interpolation for compensation of sparse angular sampling in cone-beam CT,” IEEE Trans. Med. Imaging 28, 1011–1022 (2009).

[CrossRef]
[PubMed]

H. Kostler, M. Prummer, U. Rude, and J. Hornegger, “Adaptive variational sinogram interpolation of sparsely sampled CT data,” in Proceedings of the 18th International Conference on Pattern Recognition (IEEE, 2006), pp. 778–781.

R. Chityala, K. R. Hoffmann, S. Rudin, and D. R. Bednarek, “Artifact reduction in truncated CT using sinogram completion,” Proc. SPIE 5747, 2110–2117 (2005).

[CrossRef]

A. Zamyatin and N. Satoru, “Extension of the reconstruction field of view and truncation correction using sinogram decomposition,” Med. Phys. 34, 1593–1605 (2007).

[CrossRef]
[PubMed]

M. Bertram, J. Wiegert, D. Schafer, T. Aach, and G. Rose, “Directional view interpolation for compensation of sparse angular sampling in cone-beam CT,” IEEE Trans. Med. Imaging 28, 1011–1022 (2009).

[CrossRef]
[PubMed]

P. M. Joseph and R. A. Schulz, “View sampling requirements in fan beam computed tomography,” Med. Phys. 7, 692–702(1980).

[CrossRef]
[PubMed]

B. Ohnesorge, T. Flohr, K. Schwarz, J. P. Heiken, and K. T. Bae, “Efficient correction for CT image artifacts caused by objects extending outside the scan field of view,” Med. Phys. 27, 39–46(2000).

[CrossRef]
[PubMed]

T. F. Chan and J. Shen, “Mathematical models for local nontexture inpaintings,” SIAM J. Appl. Math. 62, 1019–1043(2002).

[CrossRef]

J. S. Maltz, S. Bose, H. P. Shukla, and A. R. Bani-Hashemi, “CT truncation artifact removal using water-equivalent thicknesses derived from truncated projection data,” in Proceedings of IEEE Conference on Engineering Medicine and Biology (IEEE, 2007), pp. 2907–2911.

E. Y. Sidky and X. Pan, “Image reconstruction in circular cone-beam computed tomography by constrained total-variation minimization,” Phys. Med. Biol. 53, 4777–4807 (2008).

[CrossRef]
[PubMed]

A. C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging (IEEE, 1988), pp. 177–201.

J. Xu, K. Taguchi, and B. M. W. Tsui, “Statistical projection completion in x-ray CT using consistency conditions,” IEEE Trans. Med. Imaging 29, 1528–40 (2010).

[CrossRef]
[PubMed]

J. Tang, B. Nett, and G. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54, 5781–5804 (2009).

[CrossRef]
[PubMed]

J. Xu, K. Taguchi, and B. M. W. Tsui, “Statistical projection completion in x-ray CT using consistency conditions,” IEEE Trans. Med. Imaging 29, 1528–40 (2010).

[CrossRef]
[PubMed]

W. Zbijewski, M. Defrise, M. Viergever, and F. Beekman, “Statistical reconstruction for x-ray CT systems with non-continuous detectors,” Phys. Med. Biol. 52, 403–418 (2007).

[CrossRef]
[PubMed]

M. Bertram, J. Wiegert, D. Schafer, T. Aach, and G. Rose, “Directional view interpolation for compensation of sparse angular sampling in cone-beam CT,” IEEE Trans. Med. Imaging 28, 1011–1022 (2009).

[CrossRef]
[PubMed]

J. L. Prince and A. S. Willsky, “Constrained sinogram restoration for limited-angle tomography,” Opt. Eng. 29, 535–544(1990).

[CrossRef]

H. Xue, L. Zhang, Y. Xiao, Z. Chen, and Y. Xing, “Metal artifact reduction in dual energy CT by sinogram segmentation based on active contour model and TV inpainting,” in 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) (IEEE, 2009), pp. 904–908.

[CrossRef]

X. Duan, L. Zhang, Y. Xing, Z. Chen, and J. Cheng, “Few-view projection reconstruction with an iterative reconstruction re-projection algorithm a TV constraint,” IEEE Trans. Nucl. Sci. 56, 1377–1382 (2009).

[CrossRef]

J. Gu, L. Zhang, G. Yu, Y. Xing, and Z. Chen, “X-ray CT metal artifacts reduction through curvature based sinogram inpainting,” J. X-Ray Sci. Technol. 14, 73–82 (2006).

H. Xue, L. Zhang, Y. Xiao, Z. Chen, and Y. Xing, “Metal artifact reduction in dual energy CT by sinogram segmentation based on active contour model and TV inpainting,” in 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) (IEEE, 2009), pp. 904–908.

[CrossRef]

J. Xu, K. Taguchi, and B. M. W. Tsui, “Statistical projection completion in x-ray CT using consistency conditions,” IEEE Trans. Med. Imaging 29, 1528–40 (2010).

[CrossRef]
[PubMed]

H. Xue, L. Zhang, Y. Xiao, Z. Chen, and Y. Xing, “Metal artifact reduction in dual energy CT by sinogram segmentation based on active contour model and TV inpainting,” in 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) (IEEE, 2009), pp. 904–908.

[CrossRef]

J. Gu, L. Zhang, G. Yu, Y. Xing, and Z. Chen, “X-ray CT metal artifacts reduction through curvature based sinogram inpainting,” J. X-Ray Sci. Technol. 14, 73–82 (2006).

A. Zamyatin and N. Satoru, “Extension of the reconstruction field of view and truncation correction using sinogram decomposition,” Med. Phys. 34, 1593–1605 (2007).

[CrossRef]
[PubMed]

W. Zbijewski, M. Defrise, M. Viergever, and F. Beekman, “Statistical reconstruction for x-ray CT systems with non-continuous detectors,” Phys. Med. Biol. 52, 403–418 (2007).

[CrossRef]
[PubMed]

X. Duan, L. Zhang, Y. Xing, Z. Chen, and J. Cheng, “Few-view projection reconstruction with an iterative reconstruction re-projection algorithm a TV constraint,” IEEE Trans. Nucl. Sci. 56, 1377–1382 (2009).

[CrossRef]

J. Gu, L. Zhang, G. Yu, Y. Xing, and Z. Chen, “X-ray CT metal artifacts reduction through curvature based sinogram inpainting,” J. X-Ray Sci. Technol. 14, 73–82 (2006).

H. Xue, L. Zhang, Y. Xiao, Z. Chen, and Y. Xing, “Metal artifact reduction in dual energy CT by sinogram segmentation based on active contour model and TV inpainting,” in 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) (IEEE, 2009), pp. 904–908.

[CrossRef]

J. Xu, K. Taguchi, and B. M. W. Tsui, “Statistical projection completion in x-ray CT using consistency conditions,” IEEE Trans. Med. Imaging 29, 1528–40 (2010).

[CrossRef]
[PubMed]

M. Bertram, J. Wiegert, D. Schafer, T. Aach, and G. Rose, “Directional view interpolation for compensation of sparse angular sampling in cone-beam CT,” IEEE Trans. Med. Imaging 28, 1011–1022 (2009).

[CrossRef]
[PubMed]

C. Lemmens, D. Faul, and J. Nuyts, “Suppression of metal artifacts in CT using a reconstruction procedure that combines MAP and projection completion,” IEEE Trans. Med. Imaging 28, 250–260 (2009).

[CrossRef]
[PubMed]

X. Duan, L. Zhang, Y. Xing, Z. Chen, and J. Cheng, “Few-view projection reconstruction with an iterative reconstruction re-projection algorithm a TV constraint,” IEEE Trans. Nucl. Sci. 56, 1377–1382 (2009).

[CrossRef]

J. Gu, L. Zhang, G. Yu, Y. Xing, and Z. Chen, “X-ray CT metal artifacts reduction through curvature based sinogram inpainting,” J. X-Ray Sci. Technol. 14, 73–82 (2006).

U. Kothe, “Edge and junction detection with an improved structure tensor,” Lect. Notes Comput. Sci. 2781, 25–32(2003).

[CrossRef]

E. P. A. Constantino and K. B. Ozanyan, “Sinogram recovery for sparse angle tomography using sinusoidal Hough transform,” Meas. Sci. Technol. 19, 094015 (2008).

[CrossRef]

A. Zamyatin and N. Satoru, “Extension of the reconstruction field of view and truncation correction using sinogram decomposition,” Med. Phys. 34, 1593–1605 (2007).

[CrossRef]
[PubMed]

P. M. Joseph and R. A. Schulz, “View sampling requirements in fan beam computed tomography,” Med. Phys. 7, 692–702(1980).

[CrossRef]
[PubMed]

B. Ohnesorge, T. Flohr, K. Schwarz, J. P. Heiken, and K. T. Bae, “Efficient correction for CT image artifacts caused by objects extending outside the scan field of view,” Med. Phys. 27, 39–46(2000).

[CrossRef]
[PubMed]

M. Oehler and T. M. Buzug, “Statistical image reconstruction for inconsistent CT projection data,” Methods Inf. Med. 46, 261–269 (2007).

[CrossRef]
[PubMed]

J. L. Prince and A. S. Willsky, “Constrained sinogram restoration for limited-angle tomography,” Opt. Eng. 29, 535–544(1990).

[CrossRef]

W. Zbijewski, M. Defrise, M. Viergever, and F. Beekman, “Statistical reconstruction for x-ray CT systems with non-continuous detectors,” Phys. Med. Biol. 52, 403–418 (2007).

[CrossRef]
[PubMed]

E. Y. Sidky and X. Pan, “Image reconstruction in circular cone-beam computed tomography by constrained total-variation minimization,” Phys. Med. Biol. 53, 4777–4807 (2008).

[CrossRef]
[PubMed]

J. Tang, B. Nett, and G. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54, 5781–5804 (2009).

[CrossRef]
[PubMed]

L. Ritschl, F. Bergner, and M. Kachelriess, “A new approach to limited angle tomography using the compressed sensing framework,” Proc. SPIE 7622, 76222H (2010).

[CrossRef]

R. Chityala, K. R. Hoffmann, S. Rudin, and D. R. Bednarek, “Artifact reduction in truncated CT using sinogram completion,” Proc. SPIE 5747, 2110–2117 (2005).

[CrossRef]

T. F. Chan and J. Shen, “Mathematical models for local nontexture inpaintings,” SIAM J. Appl. Math. 62, 1019–1043(2002).

[CrossRef]

H. Xue, L. Zhang, Y. Xiao, Z. Chen, and Y. Xing, “Metal artifact reduction in dual energy CT by sinogram segmentation based on active contour model and TV inpainting,” in 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) (IEEE, 2009), pp. 904–908.

[CrossRef]

H. Kostler, M. Prummer, U. Rude, and J. Hornegger, “Adaptive variational sinogram interpolation of sparsely sampled CT data,” in Proceedings of the 18th International Conference on Pattern Recognition (IEEE, 2006), pp. 778–781.

A. C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging (IEEE, 1988), pp. 177–201.

J. S. Maltz, S. Bose, H. P. Shukla, and A. R. Bani-Hashemi, “CT truncation artifact removal using water-equivalent thicknesses derived from truncated projection data,” in Proceedings of IEEE Conference on Engineering Medicine and Biology (IEEE, 2007), pp. 2907–2911.

D. Kincaid and W. Cheney, Numerical Analysis: Mathematics of Scientific Computing, 3rd ed. (American Mathematical Society, 2002).

A. Kharlamov and V. Podlozhnyuk, “Image denoising,” Tech. Rep. (NVIDIA, Inc., 2007).

NVIDIA CUDA Programming Guide (Version 3.0).

“Accelerating MATLAB with CUDA using MEX files” (White Paper), http://developer.nvidia.com/object/matlab cuda.html.

“GPU Acceleration in MATLAB,” http://arch.eece.maine.edu/superme/images/8/8c/Final report.pdf.