A previously described method for producing an image stack with enhanced through-plane resolution from an acquired set of overlapping thicker 2D slices is limited by noise enhancement when a linear reconstruction is used. To improve the resulting sharpness and noise performance of the output images, a sparsity-regularized (wavelet) full forward model based iterative reconstruction is developed. Initial results with a composite-splitting gradient descent solver provide promising noise and resolution enhancement performance. Future work includes refinements to the forward model and improving optimization convergence of the solver through momentum-based algorithms.
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