Performance evaluation of filtered backprojection reconstruction and iterative reconstruction methods for PET images

[1]  Gabor T. Herman,et al.  Image Reconstruction From Projections , 1975, Real Time Imaging.

[2]  Norbert J. Pelc,et al.  The noise power spectrum in computed X-ray tomography. , 1978 .

[3]  L. Shepp,et al.  Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.

[4]  A. C. Kak,et al.  4 – Image Reconstruction from Projections , 1984 .

[5]  L. J. Thomas,et al.  Noise and Edge Artifacts in Maximum-Likelihood Reconstructions for Emission Tomography , 1987, IEEE Transactions on Medical Imaging.

[6]  E. Veklerov,et al.  Stopping Rule for the MLE Algorithm Based on Statistical Hypothesis Testing , 1987, IEEE Transactions on Medical Imaging.

[7]  M F Kijewski,et al.  The noise power spectrum of CT images. , 1987, Physics in medicine and biology.

[8]  J Llacer,et al.  Feasible images and practical stopping rules for iterative algorithms in emission tomography. , 1989, IEEE transactions on medical imaging.

[9]  T. Hebert,et al.  A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors. , 1989, IEEE transactions on medical imaging.

[10]  S. Strother,et al.  Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions. , 1991, IEEE transactions on medical imaging.

[11]  Benjamin M. W. Tsui,et al.  Noise properties of filtered-backprojection and ML-EM reconstructed emission tomographic images , 1992 .

[12]  C E Metz,et al.  An evaluation of maximum likelihood-expectation maximization reconstruction for SPECT by ROC analysis. , 1992, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[13]  Stephen J. Riederer,et al.  Medical imaging [6] , 1995 .

[14]  Anil K. Jain Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.