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We remark that the filtered back-projection (FBP) methodology is not at all designed for sparsely
sampled data considered here. FBP works very well with denser angular sampling, whenever that
is available. 

Also, probably FBP could be optimized to give better results even with the sparse data used here.
However, that is outside the scope of this treatment. 

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Compute reconstruction using matrix-free iterative Tikhonov regularization

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