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Found 5 papers, 2 papers with code
Accurate 2D Reconstruction for PET Scanners based on the Analytical White Image Model
In this paper, we provide a precise mathematical model of crystal-to-crystal response which is used to generate the white image - a necessary compensation model needed to overcome the physical limitations of the PET scanner.
Accurate PET Reconstruction from Reduced Set of Measurements based on GMM
A vast majority of PET imaging methods are based on reconstruction model that is defined by values on some pixel/voxel grid.
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling
The method is based on training a conditional generative adversarial network whose generator approximates sampling from the posterior in Bayesian inversion.
Single-Pixel Compressive Imaging in Shift-Invariant Spaces via Exact Wavelet Frames
The SI models of the acquisition and the underlying signal lead to an exact discretization of an inherently continuous-domain inverse problem to a finite-dimensional problem of CS type.
Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing
The SI samples are subsequently filtered by a discrete-time correction filter to reconstruct expansion coefficients of the observed signal.
