A Mojette transform tomographic reconstruction algorithm based on algebraic iteration is proposed. In the algorithm, the optimal projection angles are determined, and the multiplicative algebraic iterative algorithm in traditional tomography is adopted for reconstruction. The proposed algorithm is used to tomographic reconstruction of an axisymmetric flame. Numerical simulations show that, for the projections with high noise, the proposed algorithm has better reconstruction quality comparing with the Corner Based Inversion.