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[Crossref]
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Z. Bian, J. Ma, L. Tian, J. Huang, H. Zhang, Y. Zhang, W. Chen, and Z. Liang, “Penalized weighted alpha-divergence approach to sinogram restoration for low-dose X-ray computed tomography,” in Proceeding of IEEE NSS-MIC, (2012), pp. 3675–3678.

N. Liu, Y. Gao, Z. Bian, J. Huang, W. Chen, G. Yu, Z. Liang, and J. Ma, “Sparse-view x-ray CT reconstruction via total generalized variation regularization,” submitted to Phys. Med. Biol. (PMB-100428), in press.

M. K. Kalra, M. M. Maher, T. L. Toth, L. M. Hamberg, M. A. Blake, J. A. Shepard, and S. Saini, “Strategies for CT radiation dose optimization,” Radiology 230, 619–628 (2004).

[Crossref]
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[Crossref]
[PubMed]

Z. Bian, J. Ma, J. Huang, H. Zhang, S. Niu, Q. Feng, Z. Liang, and W. Chen, “SR-NLM: A sinogram restoration induced non-local means image filtering for low-dose computed tomography,” Comput. Med. Imaging Graph. 37, 293–303 (2013).

[Crossref]
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J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen, and H. Lu, “Variance analysis of x-ray CT sinograms in the presence of electronic noise background,” Med. Phys. 39, 4051–4065 (2012).

[Crossref]
[PubMed]

J. Ma, H. Zhang, Y. Gao, J. Huang, Z. Liang, Q. Feng, and W. Chen, “Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior,” Phys. Med. Biol. 57, 7519–7542 (2012).

[Crossref]
[PubMed]

J. Ma, J. Huang, Q. Feng, H. Zhang, H. Lu, Z. Liang, and W. Chen, “Low-dose computed tomography image restoration using previous normal-dose scan,” Med. Phys. 38, 5714–5731 (2011).

[Crossref]

Z. Bian, J. Ma, L. Tian, J. Huang, H. Zhang, Y. Zhang, W. Chen, and Z. Liang, “Penalized weighted alpha-divergence approach to sinogram restoration for low-dose X-ray computed tomography,” in Proceeding of IEEE NSS-MIC, (2012), pp. 3675–3678.

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

N. Liu, Y. Gao, Z. Bian, J. Huang, W. Chen, G. Yu, Z. Liang, and J. Ma, “Sparse-view x-ray CT reconstruction via total generalized variation regularization,” submitted to Phys. Med. Biol. (PMB-100428), in press.

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J. Wang, H. Lu, Z. Liang, D. Eremina, G. Zhang, S. Wang, J. Chen, and J. Manzione, “An experimental study on the noise properties of X-ray CT sinogram data in radon space,” Phys. Med. Biol. 53, 3327–3341 (2008).

[Crossref]
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J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen, and H. Lu, “Variance analysis of x-ray CT sinograms in the presence of electronic noise background,” Med. Phys. 39, 4051–4065 (2012).

[Crossref]
[PubMed]

Y. Liu, J. Ma, Y. Fan, and Z. Liang, “Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction,” Phys. Med. Biol. 57, 7923–7956 (2012).

[Crossref]
[PubMed]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

Z. Bian, J. Ma, J. Huang, H. Zhang, S. Niu, Q. Feng, Z. Liang, and W. Chen, “SR-NLM: A sinogram restoration induced non-local means image filtering for low-dose computed tomography,” Comput. Med. Imaging Graph. 37, 293–303 (2013).

[Crossref]
[PubMed]

J. Ma, H. Zhang, Y. Gao, J. Huang, Z. Liang, Q. Feng, and W. Chen, “Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior,” Phys. Med. Biol. 57, 7519–7542 (2012).

[Crossref]
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[Crossref]

A. Borsdorf, R. Raupach, T. Flohr, and J. Hornegger, “Wavelet based noise reduction in CT-images using correlation analysis,” IEEE Trans. Med. Imaging 27, 1685–1703 (2008).

[Crossref]
[PubMed]

J. Ma, H. Zhang, Y. Gao, J. Huang, Z. Liang, Q. Feng, and W. Chen, “Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior,” Phys. Med. Biol. 57, 7519–7542 (2012).

[Crossref]
[PubMed]

N. Liu, Y. Gao, Z. Bian, J. Huang, W. Chen, G. Yu, Z. Liang, and J. Ma, “Sparse-view x-ray CT reconstruction via total generalized variation regularization,” submitted to Phys. Med. Biol. (PMB-100428), in press.

D. J. Brenner and E. J. Hall, “CT – An increasing source of radiation exposure,” New Eng. J. Med. 357, 2277–2284 (2007).

[Crossref]

M. K. Kalra, C. Wittram, M. M. Maher, A. Sharma, G. B. Avinash, K. Karau, T. L. Halpern, S. Saini, and J. A. Shepard, “Can noise reduction filters improve low-radiation-dose chest CT images?” Pilot study Radiology 228, 257–264 (2003).

M. K. Kalra, M. M. Maher, T. L. Toth, L. M. Hamberg, M. A. Blake, J. A. Shepard, and S. Saini, “Strategies for CT radiation dose optimization,” Radiology 230, 619–628 (2004).

[Crossref]
[PubMed]

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[Crossref]

A. Borsdorf, R. Raupach, T. Flohr, and J. Hornegger, “Wavelet based noise reduction in CT-images using correlation analysis,” IEEE Trans. Med. Imaging 27, 1685–1703 (2008).

[Crossref]
[PubMed]

T. Li, X. Li, J. Wang, J. Wen, H. Lu, J. Hsieh, and Z. Liang, “Nonlinear sinogram smoothing for low-dose X-ray CT,” IEEE Trans. Nucl. Sci. 51, 2505–2513 (2004).

[Crossref]

Z. Bian, J. Ma, J. Huang, H. Zhang, S. Niu, Q. Feng, Z. Liang, and W. Chen, “SR-NLM: A sinogram restoration induced non-local means image filtering for low-dose computed tomography,” Comput. Med. Imaging Graph. 37, 293–303 (2013).

[Crossref]
[PubMed]

J. Ma, H. Zhang, Y. Gao, J. Huang, Z. Liang, Q. Feng, and W. Chen, “Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior,” Phys. Med. Biol. 57, 7519–7542 (2012).

[Crossref]
[PubMed]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen, and H. Lu, “Variance analysis of x-ray CT sinograms in the presence of electronic noise background,” Med. Phys. 39, 4051–4065 (2012).

[Crossref]
[PubMed]

J. Ma, J. Huang, Q. Feng, H. Zhang, H. Lu, Z. Liang, and W. Chen, “Low-dose computed tomography image restoration using previous normal-dose scan,” Med. Phys. 38, 5714–5731 (2011).

[Crossref]

Z. Bian, J. Ma, L. Tian, J. Huang, H. Zhang, Y. Zhang, W. Chen, and Z. Liang, “Penalized weighted alpha-divergence approach to sinogram restoration for low-dose X-ray computed tomography,” in Proceeding of IEEE NSS-MIC, (2012), pp. 3675–3678.

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

N. Liu, Y. Gao, Z. Bian, J. Huang, W. Chen, G. Yu, Z. Liang, and J. Ma, “Sparse-view x-ray CT reconstruction via total generalized variation regularization,” submitted to Phys. Med. Biol. (PMB-100428), in press.

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A. Andersen and A. Kak, “Simultaneous algebraic reconstruction technique (SART): a superior implementation of ART Ultrason,” Imaging 6, 81–94 (1984).

M. K. Kalra, M. M. Maher, T. L. Toth, L. M. Hamberg, M. A. Blake, J. A. Shepard, and S. Saini, “Strategies for CT radiation dose optimization,” Radiology 230, 619–628 (2004).

[Crossref]
[PubMed]

M. K. Kalra, C. Wittram, M. M. Maher, A. Sharma, G. B. Avinash, K. Karau, T. L. Halpern, S. Saini, and J. A. Shepard, “Can noise reduction filters improve low-radiation-dose chest CT images?” Pilot study Radiology 228, 257–264 (2003).

E. Sidky, C. Kao, and X. Pan, “Accurate image reconstruction from few-views and limited-angle data in divergent beam CT,” J. X-Ray Sci. Technol. 14, 119–139 (2006).

M. K. Kalra, C. Wittram, M. M. Maher, A. Sharma, G. B. Avinash, K. Karau, T. L. Halpern, S. Saini, and J. A. Shepard, “Can noise reduction filters improve low-radiation-dose chest CT images?” Pilot study Radiology 228, 257–264 (2003).

C. H. McCollough, M. R. Bruesewitz, and J. M. Kofler, “CT dose reduction and dose management tools: Overview of available options,” Radiographics 26, 503–512 (2006).

[Crossref]
[PubMed]

P. J. La Rivière, J. Bian, and P. A. Vargas, “Penalized-likelihood sinogram restoration for computed tomography,” IEEE Trans. Med. Imaging 25, 1022–1036 (2006).

[Crossref]
[PubMed]

Z. Li, L. Yu, J. D. Trzasko, D. S. Lake, D. J. Blezek, J. G. Fletcher, C. H. McCollough, and A. Manduca, “Adaptive nonlocal means filtering based on local noise level for CT denoising,” Med. Phys. 41, 011908 (2013).

[Crossref]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

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[Crossref]
[PubMed]

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[Crossref]
[PubMed]

T. Li, X. Li, J. Wang, J. Wen, H. Lu, J. Hsieh, and Z. Liang, “Nonlinear sinogram smoothing for low-dose X-ray CT,” IEEE Trans. Nucl. Sci. 51, 2505–2513 (2004).

[Crossref]

T. Li, X. Li, J. Wang, J. Wen, H. Lu, J. Hsieh, and Z. Liang, “Nonlinear sinogram smoothing for low-dose X-ray CT,” IEEE Trans. Nucl. Sci. 51, 2505–2513 (2004).

[Crossref]

Z. Li, L. Yu, J. D. Trzasko, D. S. Lake, D. J. Blezek, J. G. Fletcher, C. H. McCollough, and A. Manduca, “Adaptive nonlocal means filtering based on local noise level for CT denoising,” Med. Phys. 41, 011908 (2013).

[Crossref]

Y. Liu, Z. Liang, J. Ma, H. Lu, K. Wang, H. Zhang, and W. Moore, “Total variation-stokes strategy for sparse-view X-ray CT image reconstruction,” IEEE Trans. Med. Imaging, 33, 749–763 (2014).

[Crossref]

Z. Bian, J. Ma, J. Huang, H. Zhang, S. Niu, Q. Feng, Z. Liang, and W. Chen, “SR-NLM: A sinogram restoration induced non-local means image filtering for low-dose computed tomography,” Comput. Med. Imaging Graph. 37, 293–303 (2013).

[Crossref]
[PubMed]

J. Ma, H. Zhang, Y. Gao, J. Huang, Z. Liang, Q. Feng, and W. Chen, “Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior,” Phys. Med. Biol. 57, 7519–7542 (2012).

[Crossref]
[PubMed]

Y. Liu, J. Ma, Y. Fan, and Z. Liang, “Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction,” Phys. Med. Biol. 57, 7923–7956 (2012).

[Crossref]
[PubMed]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen, and H. Lu, “Variance analysis of x-ray CT sinograms in the presence of electronic noise background,” Med. Phys. 39, 4051–4065 (2012).

[Crossref]
[PubMed]

J. Ma, J. Huang, Q. Feng, H. Zhang, H. Lu, Z. Liang, and W. Chen, “Low-dose computed tomography image restoration using previous normal-dose scan,” Med. Phys. 38, 5714–5731 (2011).

[Crossref]

J. Wang, H. Lu, Z. Liang, D. Eremina, G. Zhang, S. Wang, J. Chen, and J. Manzione, “An experimental study on the noise properties of X-ray CT sinogram data in radon space,” Phys. Med. Biol. 53, 3327–3341 (2008).

[Crossref]
[PubMed]

J. Wang, T. Li, H. Lu, and Z. Liang, “Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray CT,” IEEE Trans. Med. Imaging 25, 1272–1283 (2006).

[Crossref]
[PubMed]

T. Li, X. Li, J. Wang, J. Wen, H. Lu, J. Hsieh, and Z. Liang, “Nonlinear sinogram smoothing for low-dose X-ray CT,” IEEE Trans. Nucl. Sci. 51, 2505–2513 (2004).

[Crossref]

Z. Bian, J. Ma, L. Tian, J. Huang, H. Zhang, Y. Zhang, W. Chen, and Z. Liang, “Penalized weighted alpha-divergence approach to sinogram restoration for low-dose X-ray computed tomography,” in Proceeding of IEEE NSS-MIC, (2012), pp. 3675–3678.

G. Han, Z. Liang, and J. You, “A fast ray-tracing technique for TCT and ECT studies,” in Proceeding of IEEE NSS-MIC, (Seattle, WA, 1999), pp. 1515–1518.

N. Liu, Y. Gao, Z. Bian, J. Huang, W. Chen, G. Yu, Z. Liang, and J. Ma, “Sparse-view x-ray CT reconstruction via total generalized variation regularization,” submitted to Phys. Med. Biol. (PMB-100428), in press.

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

N. Liu, Y. Gao, Z. Bian, J. Huang, W. Chen, G. Yu, Z. Liang, and J. Ma, “Sparse-view x-ray CT reconstruction via total generalized variation regularization,” submitted to Phys. Med. Biol. (PMB-100428), in press.

Y. Liu, Z. Liang, J. Ma, H. Lu, K. Wang, H. Zhang, and W. Moore, “Total variation-stokes strategy for sparse-view X-ray CT image reconstruction,” IEEE Trans. Med. Imaging, 33, 749–763 (2014).

[Crossref]

Y. Liu, J. Ma, Y. Fan, and Z. Liang, “Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction,” Phys. Med. Biol. 57, 7923–7956 (2012).

[Crossref]
[PubMed]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen, and H. Lu, “Variance analysis of x-ray CT sinograms in the presence of electronic noise background,” Med. Phys. 39, 4051–4065 (2012).

[Crossref]
[PubMed]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

Y. Liu, Z. Liang, J. Ma, H. Lu, K. Wang, H. Zhang, and W. Moore, “Total variation-stokes strategy for sparse-view X-ray CT image reconstruction,” IEEE Trans. Med. Imaging, 33, 749–763 (2014).

[Crossref]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen, and H. Lu, “Variance analysis of x-ray CT sinograms in the presence of electronic noise background,” Med. Phys. 39, 4051–4065 (2012).

[Crossref]
[PubMed]

J. Ma, J. Huang, Q. Feng, H. Zhang, H. Lu, Z. Liang, and W. Chen, “Low-dose computed tomography image restoration using previous normal-dose scan,” Med. Phys. 38, 5714–5731 (2011).

[Crossref]

J. Wang, H. Lu, Z. Liang, D. Eremina, G. Zhang, S. Wang, J. Chen, and J. Manzione, “An experimental study on the noise properties of X-ray CT sinogram data in radon space,” Phys. Med. Biol. 53, 3327–3341 (2008).

[Crossref]
[PubMed]

J. Wang, T. Li, H. Lu, and Z. Liang, “Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray CT,” IEEE Trans. Med. Imaging 25, 1272–1283 (2006).

[Crossref]
[PubMed]

T. Li, X. Li, J. Wang, J. Wen, H. Lu, J. Hsieh, and Z. Liang, “Nonlinear sinogram smoothing for low-dose X-ray CT,” IEEE Trans. Nucl. Sci. 51, 2505–2513 (2004).

[Crossref]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

Y. Liu, Z. Liang, J. Ma, H. Lu, K. Wang, H. Zhang, and W. Moore, “Total variation-stokes strategy for sparse-view X-ray CT image reconstruction,” IEEE Trans. Med. Imaging, 33, 749–763 (2014).

[Crossref]

Z. Bian, J. Ma, J. Huang, H. Zhang, S. Niu, Q. Feng, Z. Liang, and W. Chen, “SR-NLM: A sinogram restoration induced non-local means image filtering for low-dose computed tomography,” Comput. Med. Imaging Graph. 37, 293–303 (2013).

[Crossref]
[PubMed]

J. Ma, H. Zhang, Y. Gao, J. Huang, Z. Liang, Q. Feng, and W. Chen, “Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior,” Phys. Med. Biol. 57, 7519–7542 (2012).

[Crossref]
[PubMed]

Y. Liu, J. Ma, Y. Fan, and Z. Liang, “Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction,” Phys. Med. Biol. 57, 7923–7956 (2012).

[Crossref]
[PubMed]

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen, and H. Lu, “Variance analysis of x-ray CT sinograms in the presence of electronic noise background,” Med. Phys. 39, 4051–4065 (2012).

[Crossref]
[PubMed]

J. Ma, J. Huang, Q. Feng, H. Zhang, H. Lu, Z. Liang, and W. Chen, “Low-dose computed tomography image restoration using previous normal-dose scan,” Med. Phys. 38, 5714–5731 (2011).

[Crossref]

Z. Bian, J. Ma, L. Tian, J. Huang, H. Zhang, Y. Zhang, W. Chen, and Z. Liang, “Penalized weighted alpha-divergence approach to sinogram restoration for low-dose X-ray computed tomography,” in Proceeding of IEEE NSS-MIC, (2012), pp. 3675–3678.

J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, L. Li, W. Chen, and H. Lu, “Variance estimation of X-ray CT sinogram in radon domain,” in Proc. SPIE8313, 83132G (2012).

[Crossref]

N. Liu, Y. Gao, Z. Bian, J. Huang, W. Chen, G. Yu, Z. Liang, and J. Ma, “Sparse-view x-ray CT reconstruction via total generalized variation regularization,” submitted to Phys. Med. Biol. (PMB-100428), in press.

M. K. Kalra, M. M. Maher, T. L. Toth, L. M. Hamberg, M. A. Blake, J. A. Shepard, and S. Saini, “Strategies for CT radiation dose optimization,” Radiology 230, 619–628 (2004).

[Crossref]
[PubMed]

M. K. Kalra, C. Wittram, M. M. Maher, A. Sharma, G. B. Avinash, K. Karau, T. L. Halpern, S. Saini, and J. A. Shepard, “Can noise reduction filters improve low-radiation-dose chest CT images?” Pilot study Radiology 228, 257–264 (2003).

Z. Li, L. Yu, J. D. Trzasko, D. S. Lake, D. J. Blezek, J. G. Fletcher, C. H. McCollough, and A. Manduca, “Adaptive nonlocal means filtering based on local noise level for CT denoising,” Med. Phys. 41, 011908 (2013).

[Crossref]

J. Wang, H. Lu, Z. Liang, D. Eremina, G. Zhang, S. Wang, J. Chen, and J. Manzione, “An experimental study on the noise properties of X-ray CT sinogram data in radon space,” Phys. Med. Biol. 53, 3327–3341 (2008).

[Crossref]
[PubMed]

Z. Li, L. Yu, J. D. Trzasko, D. S. Lake, D. J. Blezek, J. G. Fletcher, C. H. McCollough, and A. Manduca, “Adaptive nonlocal means filtering based on local noise level for CT denoising,” Med. Phys. 41, 011908 (2013).

[Crossref]

C. H. McCollough, M. R. Bruesewitz, and J. M. Kofler, “CT dose reduction and dose management tools: Overview of available options,” Radiographics 26, 503–512 (2006).

[Crossref]
[PubMed]

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[Crossref]
[PubMed]

P. Milasevic and G. R. Ducharme, “Uniqueness of the spatial median,” The Annals of Statistics 15, 1332–1333 (1987).

[Crossref]

Y. Liu, Z. Liang, J. Ma, H. Lu, K. Wang, H. Zhang, and W. Moore, “Total variation-stokes strategy for sparse-view X-ray CT image reconstruction,” IEEE Trans. Med. Imaging, 33, 749–763 (2014).

[Crossref]

Z. Bian, J. Ma, J. Huang, H. Zhang, S. Niu, Q. Feng, Z. Liang, and W. Chen, “SR-NLM: A sinogram restoration induced non-local means image filtering for low-dose computed tomography,” Comput. Med. Imaging Graph. 37, 293–303 (2013).

[Crossref]
[PubMed]

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

[Crossref]
[PubMed]

E. Sidky, C. Kao, and X. Pan, “Accurate image reconstruction from few-views and limited-angle data in divergent beam CT,” J. X-Ray Sci. Technol. 14, 119–139 (2006).

A. J. Einstein, M. J. Henzlova, and S. Rajagopalan, “Estimating risk of cancer associated with radiation exposure from 64-slice CT coronary angiography,” J. Am. Med. Assoc. 298, 317–323 (2007).

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