Sequentially optimized projections in x-ray imaging <sup>*</sup>
Sequentially optimized projections in x-ray imaging <sup>*</sup>
This work applies Bayesian experimental design to selecting optimal projection geometries in (discretized) parallel beam X-ray tomography assuming the prior and the additive noise are Gaussian.The introduced greedy exhaustive optimization algorithm proceeds sequentially, with the posterior distribution corresponding to the previous projections serving as the prior for determining the design …