T. S. Zaccheo, R. A. Gonsalves, P. Nisenson, S. M. Ebstein, “Estimating the Cramér–Rao bound for astronomical observations: application to the Richardson–Lucy algorithm,” Astrophys. J. 458, 742–745 (1996).

[CrossRef]

D. L. Snyder, A. M. Hammoud, R. L. White, “Image recovery from data acquired with a charge-coupled-device camera,” J. Opt. Soc. Am. A 10, 1014–1023 (1993).

[CrossRef]
[PubMed]

C. L. Byrne, “Iterative image reconstruction algorithms based on cross-entropy minimization,” IEEE Trans. Image Process. 2, 96–103 (1993).

[CrossRef]
[PubMed]

A. R. De Pierro, “On the relation between the ISRA and the EM algorithm for positron emission tomography,” IEEE Trans. Med. Imaging 12, 328–333 (1993).

[CrossRef]
[PubMed]

D. L. Snyder, T. J. Schulz, J. A. O’Sullivan, “Deblurring subject to nonnegativity constraints,” IEEE Trans. Sig. Process. 40, 1143–1150 (1992).

[CrossRef]

J. Nunez, J. Llacer, “A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images,” IEEE Trans. Med. Imaging 9, 159–171 (1990).

[CrossRef]
[PubMed]

A. R. De Pierro, “On the convergence of the iterative image space reconstruction algorithm for volume ECT,” IEEE Trans. Med. Imaging 6, 174–175 (1987).

[CrossRef]

L. Kaufman, “Implementing and accelerating the EM algorithm for positron emission tomography,” IEEE Trans. Med. Imaging 6, 37–51 (1987).

[CrossRef]
[PubMed]

M. E. Daube-Witherspoon, G. Muehllehner, “An iterative image space reconstruction algorithm suitable for volume ECT,” IEEE Trans. Med. Imaging 5, 61–66 (1986).

[CrossRef]

Y. Vardi, L. A. Shepp, L. Kaufman, “A statistical model for positron emission tomography,” J. Am. Stat. Soc. 80, 8–35 (1985).

[CrossRef]

L. A. Shepp, Y. Vardi, “Maximum likelihood reconstruction for emission tomography,” IEEE Trans. Med. Imaging 1, 113–122 (1982).

[CrossRef]
[PubMed]

R. A. Gonsalves, “Phase retrieval and diversity in adaptive optics,” Opt. Eng. 21, 829–832 (1982).

[CrossRef]

H. J. Trussell, “The relationship between image restoration by the maximum a posteriorimethod and maximum entropy method,” IEEE Trans. Acoust. Speech Signal Process. 28, 114–117 (1980).

[CrossRef]

H. J. Trussell, B. R. Hunt, “Improved methods of maximum a posteriorirestoration,” IEEE Trans. Comput., 27, 57–62 (1979).

[CrossRef]

B. R. Hunt, “Bayesian methods in nonlinear digital image restoration,” IEEE Trans. Comput. 26, 219–229 (1977).

[CrossRef]

A. P. Dempster, N. M. Laird, D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. R. Stat. Soc. 39, 1–38 (1977).

L. B. Lucy, “An iterative technique for the rectification of observed distributions,” Astron. J. 79, 745–754 (1974).

[CrossRef]

C. L. Byrne, “Iterative image reconstruction algorithms based on cross-entropy minimization,” IEEE Trans. Image Process. 2, 96–103 (1993).

[CrossRef]
[PubMed]

M. E. Daube-Witherspoon, G. Muehllehner, “An iterative image space reconstruction algorithm suitable for volume ECT,” IEEE Trans. Med. Imaging 5, 61–66 (1986).

[CrossRef]

A. R. De Pierro, “On the relation between the ISRA and the EM algorithm for positron emission tomography,” IEEE Trans. Med. Imaging 12, 328–333 (1993).

[CrossRef]
[PubMed]

A. R. De Pierro, “On the convergence of the iterative image space reconstruction algorithm for volume ECT,” IEEE Trans. Med. Imaging 6, 174–175 (1987).

[CrossRef]

A. P. Dempster, N. M. Laird, D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. R. Stat. Soc. 39, 1–38 (1977).

T. S. Zaccheo, R. A. Gonsalves, P. Nisenson, S. M. Ebstein, “Estimating the Cramér–Rao bound for astronomical observations: application to the Richardson–Lucy algorithm,” Astrophys. J. 458, 742–745 (1996).

[CrossRef]

T. S. Zaccheo, R. A. Gonsalves, P. Nisenson, S. M. Ebstein, “Estimating the Cramér–Rao bound for astronomical observations: application to the Richardson–Lucy algorithm,” Astrophys. J. 458, 742–745 (1996).

[CrossRef]

R. A. Gonsalves, “Phase retrieval and diversity in adaptive optics,” Opt. Eng. 21, 829–832 (1982).

[CrossRef]

H. J. Trussell, B. R. Hunt, “Improved methods of maximum a posteriorirestoration,” IEEE Trans. Comput., 27, 57–62 (1979).

[CrossRef]

B. R. Hunt, “Bayesian methods in nonlinear digital image restoration,” IEEE Trans. Comput. 26, 219–229 (1977).

[CrossRef]

L. Kaufman, “Implementing and accelerating the EM algorithm for positron emission tomography,” IEEE Trans. Med. Imaging 6, 37–51 (1987).

[CrossRef]
[PubMed]

Y. Vardi, L. A. Shepp, L. Kaufman, “A statistical model for positron emission tomography,” J. Am. Stat. Soc. 80, 8–35 (1985).

[CrossRef]

A. P. Dempster, N. M. Laird, D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. R. Stat. Soc. 39, 1–38 (1977).

J. Nunez, J. Llacer, “A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images,” IEEE Trans. Med. Imaging 9, 159–171 (1990).

[CrossRef]
[PubMed]

L. B. Lucy, “An iterative technique for the rectification of observed distributions,” Astron. J. 79, 745–754 (1974).

[CrossRef]

M. E. Daube-Witherspoon, G. Muehllehner, “An iterative image space reconstruction algorithm suitable for volume ECT,” IEEE Trans. Med. Imaging 5, 61–66 (1986).

[CrossRef]

T. S. Zaccheo, R. A. Gonsalves, P. Nisenson, S. M. Ebstein, “Estimating the Cramér–Rao bound for astronomical observations: application to the Richardson–Lucy algorithm,” Astrophys. J. 458, 742–745 (1996).

[CrossRef]

J. Nunez, J. Llacer, “A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images,” IEEE Trans. Med. Imaging 9, 159–171 (1990).

[CrossRef]
[PubMed]

D. L. Snyder, T. J. Schulz, J. A. O’Sullivan, “Deblurring subject to nonnegativity constraints,” IEEE Trans. Sig. Process. 40, 1143–1150 (1992).

[CrossRef]

A. P. Dempster, N. M. Laird, D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. R. Stat. Soc. 39, 1–38 (1977).

D. L. Snyder, T. J. Schulz, J. A. O’Sullivan, “Deblurring subject to nonnegativity constraints,” IEEE Trans. Sig. Process. 40, 1143–1150 (1992).

[CrossRef]

Y. Vardi, L. A. Shepp, L. Kaufman, “A statistical model for positron emission tomography,” J. Am. Stat. Soc. 80, 8–35 (1985).

[CrossRef]

L. A. Shepp, Y. Vardi, “Maximum likelihood reconstruction for emission tomography,” IEEE Trans. Med. Imaging 1, 113–122 (1982).

[CrossRef]
[PubMed]

D. L. Snyder, A. M. Hammoud, R. L. White, “Image recovery from data acquired with a charge-coupled-device camera,” J. Opt. Soc. Am. A 10, 1014–1023 (1993).

[CrossRef]
[PubMed]

D. L. Snyder, T. J. Schulz, J. A. O’Sullivan, “Deblurring subject to nonnegativity constraints,” IEEE Trans. Sig. Process. 40, 1143–1150 (1992).

[CrossRef]

H. J. Trussell, “The relationship between image restoration by the maximum a posteriorimethod and maximum entropy method,” IEEE Trans. Acoust. Speech Signal Process. 28, 114–117 (1980).

[CrossRef]

H. J. Trussell, B. R. Hunt, “Improved methods of maximum a posteriorirestoration,” IEEE Trans. Comput., 27, 57–62 (1979).

[CrossRef]

Y. Vardi, L. A. Shepp, L. Kaufman, “A statistical model for positron emission tomography,” J. Am. Stat. Soc. 80, 8–35 (1985).

[CrossRef]

L. A. Shepp, Y. Vardi, “Maximum likelihood reconstruction for emission tomography,” IEEE Trans. Med. Imaging 1, 113–122 (1982).

[CrossRef]
[PubMed]

T. S. Zaccheo, R. A. Gonsalves, P. Nisenson, S. M. Ebstein, “Estimating the Cramér–Rao bound for astronomical observations: application to the Richardson–Lucy algorithm,” Astrophys. J. 458, 742–745 (1996).

[CrossRef]

T. S. Zaccheo, “Digital image restorations: algorithms and accuracy with applications to astronomical observations,” Ph.D. dissertation (Tufts University, Medford, Mass., 1995).

L. B. Lucy, “An iterative technique for the rectification of observed distributions,” Astron. J. 79, 745–754 (1974).

[CrossRef]

T. S. Zaccheo, R. A. Gonsalves, P. Nisenson, S. M. Ebstein, “Estimating the Cramér–Rao bound for astronomical observations: application to the Richardson–Lucy algorithm,” Astrophys. J. 458, 742–745 (1996).

[CrossRef]

H. J. Trussell, “The relationship between image restoration by the maximum a posteriorimethod and maximum entropy method,” IEEE Trans. Acoust. Speech Signal Process. 28, 114–117 (1980).

[CrossRef]

B. R. Hunt, “Bayesian methods in nonlinear digital image restoration,” IEEE Trans. Comput. 26, 219–229 (1977).

[CrossRef]

H. J. Trussell, B. R. Hunt, “Improved methods of maximum a posteriorirestoration,” IEEE Trans. Comput., 27, 57–62 (1979).

[CrossRef]

C. L. Byrne, “Iterative image reconstruction algorithms based on cross-entropy minimization,” IEEE Trans. Image Process. 2, 96–103 (1993).

[CrossRef]
[PubMed]

L. Kaufman, “Implementing and accelerating the EM algorithm for positron emission tomography,” IEEE Trans. Med. Imaging 6, 37–51 (1987).

[CrossRef]
[PubMed]

M. E. Daube-Witherspoon, G. Muehllehner, “An iterative image space reconstruction algorithm suitable for volume ECT,” IEEE Trans. Med. Imaging 5, 61–66 (1986).

[CrossRef]

A. R. De Pierro, “On the convergence of the iterative image space reconstruction algorithm for volume ECT,” IEEE Trans. Med. Imaging 6, 174–175 (1987).

[CrossRef]

A. R. De Pierro, “On the relation between the ISRA and the EM algorithm for positron emission tomography,” IEEE Trans. Med. Imaging 12, 328–333 (1993).

[CrossRef]
[PubMed]

L. A. Shepp, Y. Vardi, “Maximum likelihood reconstruction for emission tomography,” IEEE Trans. Med. Imaging 1, 113–122 (1982).

[CrossRef]
[PubMed]

J. Nunez, J. Llacer, “A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images,” IEEE Trans. Med. Imaging 9, 159–171 (1990).

[CrossRef]
[PubMed]

D. L. Snyder, T. J. Schulz, J. A. O’Sullivan, “Deblurring subject to nonnegativity constraints,” IEEE Trans. Sig. Process. 40, 1143–1150 (1992).

[CrossRef]

Y. Vardi, L. A. Shepp, L. Kaufman, “A statistical model for positron emission tomography,” J. Am. Stat. Soc. 80, 8–35 (1985).

[CrossRef]

A. P. Dempster, N. M. Laird, D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. R. Stat. Soc. 39, 1–38 (1977).

R. A. Gonsalves, “Phase retrieval and diversity in adaptive optics,” Opt. Eng. 21, 829–832 (1982).

[CrossRef]

T. S. Zaccheo, “Digital image restorations: algorithms and accuracy with applications to astronomical observations,” Ph.D. dissertation (Tufts University, Medford, Mass., 1995).