Theoretical analysis of resolution and noise properties of PET image reconstruction with and without sinogram blurring modeling
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[1] J.A. Fessler. Analytical approach to regularization design for isotropic spatial resolution , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).
[2] Paul Kinahan,et al. Noise and signal properties in PSF-based fully 3D PET image reconstruction: an experimental evaluation , 2010, Physics in medicine and biology.
[3] Jeffrey A. Fessler,et al. Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs , 1996, IEEE Trans. Image Process..
[4] A. Rahmim,et al. Resolution modeling in PET imaging: theory, practice, benefits, and pitfalls. , 2013, Medical physics.
[5] John G. Proakis,et al. Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .
[6] Kris Thielemans,et al. Trade-off between contrast recovery, image noise and edge artifacts in PET image reconstruction using detector blurring models , 2011, 2011 IEEE Nuclear Science Symposium Conference Record.
[7] Vladimir Y. Panin,et al. Fully 3-D PET reconstruction with system matrix derived from point source measurements , 2006, IEEE Transactions on Medical Imaging.
[8] Jeffrey A. Fessler. Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography , 1996, IEEE Trans. Image Process..
[9] Steven G. Ross,et al. Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction , 2010, IEEE Transactions on Medical Imaging.
[10] Jeffrey A. Fessler,et al. Resolution Properties of Regularized Image Reconstruction Methods , 2002 .
[11] R. Leahy,et al. High-resolution 3D Bayesian image reconstruction using the microPET small-animal scanner. , 1998, Physics in medicine and biology.
[12] Jeffrey A. Fessler,et al. A penalized-likelihood image reconstruction method for emission tomography, compared to postsmoothed maximum-likelihood with matched spatial resolution , 2003, IEEE Transactions on Medical Imaging.
[13] S. Ross,et al. Power laws for image quality measures in PET penalized-likelihood image reconstruction , 2013, 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC).