P. P. Mondal, K. Rajan, “Image reconstruction by conditional entropy maximisation for PET system,” IEE Proc. Vision Image Signal Process. 151, 345–352 (2004).

[CrossRef]

E. I. Papageorgiou, C. D. Stylios, P. P. Groumpos, “Active Hebbian learning algorithm to train fuzzy cognitive maps,” Int. J. Approx Reasoning 37, 219–249 (2004).

[CrossRef]

J. Nuyts, D. Bequ, P. Dupont, L. Mortelmans, “A concave prior penalizing relative differences for maximum-a-posteriori reconstruction in emission tomography,” IEEE Trans. Nucl. Sci. 49, 56–60 (2002).

[CrossRef]

S. J. Lee, “Accelerated deterministic annealing algorithms for transmission CT reconstruction using ordered subsets,” IEEE Trans. Nucl. Sci. 49, 2373–2380 (2002).

[CrossRef]

S. Alenius, U. Ruotsalainen, “Generalization of median root prior reconstruction,” IEEE Trans. Med. Imaging 21, 1413–1420 (2002).

[CrossRef]

S. Alenius, U. Ruotsalainen, “Using local median as the location of prior distribution in iterative emission tomography reconstruction,” IEEE Trans. Nucl. Sci. 45, 3097–3104 (1998).

[CrossRef]

Z. Zhou, R. M. Leahy, J. Qi, “Approximate maximum likelihood hyperparameter estimation for Gibbs prior,” IEEE Trans. Image Process. 6, 844–861 (1997).

[CrossRef]

J. A. Fessler, “Mean and variance of implicitly defined biased estimators such as penalized maximum likelihood: applications to tomography,” IEEE Trans. Image Process. 5, 493–506 (1996).

[CrossRef]

J. A. Fessler, A. O. Hero, “Penalized maximum likelihood image reconstructionusing space-alternating generalized EM algorithms,” IEEE Trans. Image Process. 4, 1417–1429 (1995).

[CrossRef]

E. U. Mumcuoglu, R. Leahy, S. R. Cherry, Z. Zhou, “Fast gradient based methods for Bayesian reconstruction of transmission and emission PET images,” IEEE Trans. Med. Imaging 13, 687–701 (1994).

[CrossRef]

K. Rajan, L. M. Patnaik, J. Ramakrishna, “High speed computation of the EM algorithm for PET image reconstruction,” IEEE Trans. Nucl. Sci. 41, 0–5 (1994).

[CrossRef]

H. M. Hudson, R. S. Larkin, “Accelerated image reconstruction using ordered subsets of projection data,” IEEE Trans. Med. Imaging 13, 601–609 (1994).

[CrossRef]
[PubMed]

J. A. Fessler, “Penalized weighted least-squares image reconstruction for positron emission tomography,” IEEE Trans. Med. Imaging 13, 290–300 (1994).

[CrossRef]
[PubMed]

T. Hebert, R. Leahy, “Statistic based MAP image reconstruction from Poisson data using Gibbs proirs,” IEEE Trans. Signal Process. 40, 2290–2303 (1992).

[CrossRef]

N. Rajeevan, K. Rajgopal, G. Krishna, “Vector-extrapolated fast maximum likelihood estimation algorithms for emission tomography,” IEEE Trans. Med. Imaging 11, 9–20 (1992).

[CrossRef]
[PubMed]

C. M. Chen, S. Y. Lee, “Parallelization of the EM algorithm for 3-D PET image reconstruction,” IEEE Trans. Med. Imaging 10, 513–522 (1991).

[CrossRef]
[PubMed]

P. J. Green, “Bayesian reconstruction from emission tomography data using a modified EM algorithm,” IEEE Trans. Med. Imaging 9, 84–93 (1990).

[CrossRef]

E. Levitan, G. T. Herman, “A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography,” IEEE Trans. Med. Imaging MI-6, 185–192 (1987).

[CrossRef]

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

[CrossRef]

E. Veclerov, J. Llacer, “Stopping rule for MLE algorithm based on statistical hypothesis testing,” IEEE Trans. Med. Imaging MI-6, 313–319 (1987).

[CrossRef]

D. L. Snyder, M. I. Miller, “The use of sieves to stabilize images produced with the EM-algorithm for emission tomography,” IEEE Trans. Nucl. Sci. NS-32, 3864–3872 (1985).

[CrossRef]

Y. VardiL, A. Shepp, L. Kaufmann, “A statistical model for positron emission tomography,” J. Am. Stat. Assoc. 80, 8–37 (1985).

[CrossRef]

L. A. Shepp, B. F. Logan, “The Fourier reconstruction of a head section,” IEEE Trans. Nucl. Sci. NS-21, 21–43 (1974).

[CrossRef]

J. Besag, “Spatial interaction and the statistical analysis of lattice systems,” J. R. Stat. Soc. B 36, 192–236 (1974).

S. Alenius, U. Ruotsalainen, “Generalization of median root prior reconstruction,” IEEE Trans. Med. Imaging 21, 1413–1420 (2002).

[CrossRef]

S. Alenius, U. Ruotsalainen, “Using local median as the location of prior distribution in iterative emission tomography reconstruction,” IEEE Trans. Nucl. Sci. 45, 3097–3104 (1998).

[CrossRef]

J. Nuyts, D. Bequ, P. Dupont, L. Mortelmans, “A concave prior penalizing relative differences for maximum-a-posteriori reconstruction in emission tomography,” IEEE Trans. Nucl. Sci. 49, 56–60 (2002).

[CrossRef]

J. Besag, “Spatial interaction and the statistical analysis of lattice systems,” J. R. Stat. Soc. B 36, 192–236 (1974).

C. M. Chen, S. Y. Lee, “Parallelization of the EM algorithm for 3-D PET image reconstruction,” IEEE Trans. Med. Imaging 10, 513–522 (1991).

[CrossRef]
[PubMed]

E. U. Mumcuoglu, R. Leahy, S. R. Cherry, Z. Zhou, “Fast gradient based methods for Bayesian reconstruction of transmission and emission PET images,” IEEE Trans. Med. Imaging 13, 687–701 (1994).

[CrossRef]

J. Nuyts, D. Bequ, P. Dupont, L. Mortelmans, “A concave prior penalizing relative differences for maximum-a-posteriori reconstruction in emission tomography,” IEEE Trans. Nucl. Sci. 49, 56–60 (2002).

[CrossRef]

J. A. Fessler, “Mean and variance of implicitly defined biased estimators such as penalized maximum likelihood: applications to tomography,” IEEE Trans. Image Process. 5, 493–506 (1996).

[CrossRef]

J. A. Fessler, A. O. Hero, “Penalized maximum likelihood image reconstructionusing space-alternating generalized EM algorithms,” IEEE Trans. Image Process. 4, 1417–1429 (1995).

[CrossRef]

J. A. Fessler, “Penalized weighted least-squares image reconstruction for positron emission tomography,” IEEE Trans. Med. Imaging 13, 290–300 (1994).

[CrossRef]
[PubMed]

P. J. Green, “Bayesian reconstruction from emission tomography data using a modified EM algorithm,” IEEE Trans. Med. Imaging 9, 84–93 (1990).

[CrossRef]

E. I. Papageorgiou, C. D. Stylios, P. P. Groumpos, “Active Hebbian learning algorithm to train fuzzy cognitive maps,” Int. J. Approx Reasoning 37, 219–249 (2004).

[CrossRef]

D. Hebb, Organization of Behavior (Wiley, 1949).

T. Hebert, R. Leahy, “Statistic based MAP image reconstruction from Poisson data using Gibbs proirs,” IEEE Trans. Signal Process. 40, 2290–2303 (1992).

[CrossRef]

T. Hebert, R. Leahy, “A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors,” IEEE Trans. Med. ImagingMI-8, 194–202 (1989).

[CrossRef]

E. Levitan, G. T. Herman, “A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography,” IEEE Trans. Med. Imaging MI-6, 185–192 (1987).

[CrossRef]

J. A. Fessler, A. O. Hero, “Penalized maximum likelihood image reconstructionusing space-alternating generalized EM algorithms,” IEEE Trans. Image Process. 4, 1417–1429 (1995).

[CrossRef]

H. M. Hudson, R. S. Larkin, “Accelerated image reconstruction using ordered subsets of projection data,” IEEE Trans. Med. Imaging 13, 601–609 (1994).

[CrossRef]
[PubMed]

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

[CrossRef]

Y. VardiL, A. Shepp, L. Kaufmann, “A statistical model for positron emission tomography,” J. Am. Stat. Assoc. 80, 8–37 (1985).

[CrossRef]

N. Rajeevan, K. Rajgopal, G. Krishna, “Vector-extrapolated fast maximum likelihood estimation algorithms for emission tomography,” IEEE Trans. Med. Imaging 11, 9–20 (1992).

[CrossRef]
[PubMed]

H. M. Hudson, R. S. Larkin, “Accelerated image reconstruction using ordered subsets of projection data,” IEEE Trans. Med. Imaging 13, 601–609 (1994).

[CrossRef]
[PubMed]

E. U. Mumcuoglu, R. Leahy, S. R. Cherry, Z. Zhou, “Fast gradient based methods for Bayesian reconstruction of transmission and emission PET images,” IEEE Trans. Med. Imaging 13, 687–701 (1994).

[CrossRef]

T. Hebert, R. Leahy, “Statistic based MAP image reconstruction from Poisson data using Gibbs proirs,” IEEE Trans. Signal Process. 40, 2290–2303 (1992).

[CrossRef]

T. Hebert, R. Leahy, “A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors,” IEEE Trans. Med. ImagingMI-8, 194–202 (1989).

[CrossRef]

Z. Zhou, R. M. Leahy, J. Qi, “Approximate maximum likelihood hyperparameter estimation for Gibbs prior,” IEEE Trans. Image Process. 6, 844–861 (1997).

[CrossRef]

S. J. Lee, “Accelerated deterministic annealing algorithms for transmission CT reconstruction using ordered subsets,” IEEE Trans. Nucl. Sci. 49, 2373–2380 (2002).

[CrossRef]

C. M. Chen, S. Y. Lee, “Parallelization of the EM algorithm for 3-D PET image reconstruction,” IEEE Trans. Med. Imaging 10, 513–522 (1991).

[CrossRef]
[PubMed]

E. Levitan, G. T. Herman, “A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography,” IEEE Trans. Med. Imaging MI-6, 185–192 (1987).

[CrossRef]

E. Veclerov, J. Llacer, “Stopping rule for MLE algorithm based on statistical hypothesis testing,” IEEE Trans. Med. Imaging MI-6, 313–319 (1987).

[CrossRef]

L. A. Shepp, B. F. Logan, “The Fourier reconstruction of a head section,” IEEE Trans. Nucl. Sci. NS-21, 21–43 (1974).

[CrossRef]

D. L. Snyder, M. I. Miller, “The use of sieves to stabilize images produced with the EM-algorithm for emission tomography,” IEEE Trans. Nucl. Sci. NS-32, 3864–3872 (1985).

[CrossRef]

P. P. Mondal, K. Rajan, “Image reconstruction by conditional entropy maximisation for PET system,” IEE Proc. Vision Image Signal Process. 151, 345–352 (2004).

[CrossRef]

P. P. Mondal, “Hebbian learning based image reconstruction for positron emission tomography,” in IEEE Instrumentation and measurement Technology Conference (IEEE Press, 2005).

[CrossRef]

J. Nuyts, D. Bequ, P. Dupont, L. Mortelmans, “A concave prior penalizing relative differences for maximum-a-posteriori reconstruction in emission tomography,” IEEE Trans. Nucl. Sci. 49, 56–60 (2002).

[CrossRef]

E. U. Mumcuoglu, R. Leahy, S. R. Cherry, Z. Zhou, “Fast gradient based methods for Bayesian reconstruction of transmission and emission PET images,” IEEE Trans. Med. Imaging 13, 687–701 (1994).

[CrossRef]

J. Nuyts, D. Bequ, P. Dupont, L. Mortelmans, “A concave prior penalizing relative differences for maximum-a-posteriori reconstruction in emission tomography,” IEEE Trans. Nucl. Sci. 49, 56–60 (2002).

[CrossRef]

E. I. Papageorgiou, C. D. Stylios, P. P. Groumpos, “Active Hebbian learning algorithm to train fuzzy cognitive maps,” Int. J. Approx Reasoning 37, 219–249 (2004).

[CrossRef]

K. Rajan, L. M. Patnaik, J. Ramakrishna, “High speed computation of the EM algorithm for PET image reconstruction,” IEEE Trans. Nucl. Sci. 41, 0–5 (1994).

[CrossRef]

Z. Zhou, R. M. Leahy, J. Qi, “Approximate maximum likelihood hyperparameter estimation for Gibbs prior,” IEEE Trans. Image Process. 6, 844–861 (1997).

[CrossRef]

P. P. Mondal, K. Rajan, “Image reconstruction by conditional entropy maximisation for PET system,” IEE Proc. Vision Image Signal Process. 151, 345–352 (2004).

[CrossRef]

K. Rajan, L. M. Patnaik, J. Ramakrishna, “High speed computation of the EM algorithm for PET image reconstruction,” IEEE Trans. Nucl. Sci. 41, 0–5 (1994).

[CrossRef]

N. Rajeevan, K. Rajgopal, G. Krishna, “Vector-extrapolated fast maximum likelihood estimation algorithms for emission tomography,” IEEE Trans. Med. Imaging 11, 9–20 (1992).

[CrossRef]
[PubMed]

N. Rajeevan, K. Rajgopal, G. Krishna, “Vector-extrapolated fast maximum likelihood estimation algorithms for emission tomography,” IEEE Trans. Med. Imaging 11, 9–20 (1992).

[CrossRef]
[PubMed]

K. Rajan, L. M. Patnaik, J. Ramakrishna, “High speed computation of the EM algorithm for PET image reconstruction,” IEEE Trans. Nucl. Sci. 41, 0–5 (1994).

[CrossRef]

S. Alenius, U. Ruotsalainen, “Generalization of median root prior reconstruction,” IEEE Trans. Med. Imaging 21, 1413–1420 (2002).

[CrossRef]

S. Alenius, U. Ruotsalainen, “Using local median as the location of prior distribution in iterative emission tomography reconstruction,” IEEE Trans. Nucl. Sci. 45, 3097–3104 (1998).

[CrossRef]

Y. VardiL, A. Shepp, L. Kaufmann, “A statistical model for positron emission tomography,” J. Am. Stat. Assoc. 80, 8–37 (1985).

[CrossRef]

L. A. Shepp, B. F. Logan, “The Fourier reconstruction of a head section,” IEEE Trans. Nucl. Sci. NS-21, 21–43 (1974).

[CrossRef]

L. A. Shepp, Y. Vardi, “Maximum likelihood estimation for emission tomography,” IEEE Trans. Med. ImagingMI-1, 113–121 (1982).

[CrossRef]

D. L. Snyder, M. I. Miller, “The use of sieves to stabilize images produced with the EM-algorithm for emission tomography,” IEEE Trans. Nucl. Sci. NS-32, 3864–3872 (1985).

[CrossRef]

E. I. Papageorgiou, C. D. Stylios, P. P. Groumpos, “Active Hebbian learning algorithm to train fuzzy cognitive maps,” Int. J. Approx Reasoning 37, 219–249 (2004).

[CrossRef]

L. A. Shepp, Y. Vardi, “Maximum likelihood estimation for emission tomography,” IEEE Trans. Med. ImagingMI-1, 113–121 (1982).

[CrossRef]

Y. VardiL, A. Shepp, L. Kaufmann, “A statistical model for positron emission tomography,” J. Am. Stat. Assoc. 80, 8–37 (1985).

[CrossRef]

E. Veclerov, J. Llacer, “Stopping rule for MLE algorithm based on statistical hypothesis testing,” IEEE Trans. Med. Imaging MI-6, 313–319 (1987).

[CrossRef]

Z. Zhou, R. M. Leahy, J. Qi, “Approximate maximum likelihood hyperparameter estimation for Gibbs prior,” IEEE Trans. Image Process. 6, 844–861 (1997).

[CrossRef]

E. U. Mumcuoglu, R. Leahy, S. R. Cherry, Z. Zhou, “Fast gradient based methods for Bayesian reconstruction of transmission and emission PET images,” IEEE Trans. Med. Imaging 13, 687–701 (1994).

[CrossRef]

P. P. Mondal, K. Rajan, “Image reconstruction by conditional entropy maximisation for PET system,” IEE Proc. Vision Image Signal Process. 151, 345–352 (2004).

[CrossRef]

J. A. Fessler, A. O. Hero, “Penalized maximum likelihood image reconstructionusing space-alternating generalized EM algorithms,” IEEE Trans. Image Process. 4, 1417–1429 (1995).

[CrossRef]

J. A. Fessler, “Mean and variance of implicitly defined biased estimators such as penalized maximum likelihood: applications to tomography,” IEEE Trans. Image Process. 5, 493–506 (1996).

[CrossRef]

Z. Zhou, R. M. Leahy, J. Qi, “Approximate maximum likelihood hyperparameter estimation for Gibbs prior,” IEEE Trans. Image Process. 6, 844–861 (1997).

[CrossRef]

H. M. Hudson, R. S. Larkin, “Accelerated image reconstruction using ordered subsets of projection data,” IEEE Trans. Med. Imaging 13, 601–609 (1994).

[CrossRef]
[PubMed]

E. Levitan, G. T. Herman, “A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography,” IEEE Trans. Med. Imaging MI-6, 185–192 (1987).

[CrossRef]

P. J. Green, “Bayesian reconstruction from emission tomography data using a modified EM algorithm,” IEEE Trans. Med. Imaging 9, 84–93 (1990).

[CrossRef]

C. M. Chen, S. Y. Lee, “Parallelization of the EM algorithm for 3-D PET image reconstruction,” IEEE Trans. Med. Imaging 10, 513–522 (1991).

[CrossRef]
[PubMed]

J. A. Fessler, “Penalized weighted least-squares image reconstruction for positron emission tomography,” IEEE Trans. Med. Imaging 13, 290–300 (1994).

[CrossRef]
[PubMed]

E. U. Mumcuoglu, R. Leahy, S. R. Cherry, Z. Zhou, “Fast gradient based methods for Bayesian reconstruction of transmission and emission PET images,” IEEE Trans. Med. Imaging 13, 687–701 (1994).

[CrossRef]

N. Rajeevan, K. Rajgopal, G. Krishna, “Vector-extrapolated fast maximum likelihood estimation algorithms for emission tomography,” IEEE Trans. Med. Imaging 11, 9–20 (1992).

[CrossRef]
[PubMed]

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

[CrossRef]

E. Veclerov, J. Llacer, “Stopping rule for MLE algorithm based on statistical hypothesis testing,” IEEE Trans. Med. Imaging MI-6, 313–319 (1987).

[CrossRef]

S. Alenius, U. Ruotsalainen, “Generalization of median root prior reconstruction,” IEEE Trans. Med. Imaging 21, 1413–1420 (2002).

[CrossRef]

D. L. Snyder, M. I. Miller, “The use of sieves to stabilize images produced with the EM-algorithm for emission tomography,” IEEE Trans. Nucl. Sci. NS-32, 3864–3872 (1985).

[CrossRef]

S. J. Lee, “Accelerated deterministic annealing algorithms for transmission CT reconstruction using ordered subsets,” IEEE Trans. Nucl. Sci. 49, 2373–2380 (2002).

[CrossRef]

S. Alenius, U. Ruotsalainen, “Using local median as the location of prior distribution in iterative emission tomography reconstruction,” IEEE Trans. Nucl. Sci. 45, 3097–3104 (1998).

[CrossRef]

J. Nuyts, D. Bequ, P. Dupont, L. Mortelmans, “A concave prior penalizing relative differences for maximum-a-posteriori reconstruction in emission tomography,” IEEE Trans. Nucl. Sci. 49, 56–60 (2002).

[CrossRef]

K. Rajan, L. M. Patnaik, J. Ramakrishna, “High speed computation of the EM algorithm for PET image reconstruction,” IEEE Trans. Nucl. Sci. 41, 0–5 (1994).

[CrossRef]

L. A. Shepp, B. F. Logan, “The Fourier reconstruction of a head section,” IEEE Trans. Nucl. Sci. NS-21, 21–43 (1974).

[CrossRef]

T. Hebert, R. Leahy, “Statistic based MAP image reconstruction from Poisson data using Gibbs proirs,” IEEE Trans. Signal Process. 40, 2290–2303 (1992).

[CrossRef]

E. I. Papageorgiou, C. D. Stylios, P. P. Groumpos, “Active Hebbian learning algorithm to train fuzzy cognitive maps,” Int. J. Approx Reasoning 37, 219–249 (2004).

[CrossRef]

Y. VardiL, A. Shepp, L. Kaufmann, “A statistical model for positron emission tomography,” J. Am. Stat. Assoc. 80, 8–37 (1985).

[CrossRef]

J. Besag, “Spatial interaction and the statistical analysis of lattice systems,” J. R. Stat. Soc. B 36, 192–236 (1974).

P. P. Mondal, “Hebbian learning based image reconstruction for positron emission tomography,” in IEEE Instrumentation and measurement Technology Conference (IEEE Press, 2005).

[CrossRef]

L. A. Shepp, Y. Vardi, “Maximum likelihood estimation for emission tomography,” IEEE Trans. Med. ImagingMI-1, 113–121 (1982).

[CrossRef]

T. Hebert, R. Leahy, “A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors,” IEEE Trans. Med. ImagingMI-8, 194–202 (1989).

[CrossRef]

D. Hebb, Organization of Behavior (Wiley, 1949).