Binary tomography reconstructions of bone microstructure from few projections with stochastic level-set methods

In this work, we propose a stochastic level-set method to reconstruct binary tomography cross-sections from a small number of projections. A first reconstruction image is obtained with a deterministic level-set regularization method. The reconstruction is then refined with a stochastic partial differential equation based on a Stratanovitch formulation. The methods are tested on a slice of bone microstructure having a complex geometry for different noise levels and number of projections.