Abstract: Image reconstruction is a promising optical molecular imaging technique on the frontier of biomedical optics．In this paper,a generalized hybrid algorithm for image reconstruction was proposed based on graph cut algorithm and gradient-based algorithms．The graph cut algorithm is adopted to estimate a reliable source support without prior knowledge,and different gradient-based algorithms are sequentially used to acquire an accurate and fine source distribution according to the reconstruction status．Furthermore,multilevel meshes for the internal sources are used to speed up the computation and improve the accuracy of reconstruction．Numerical simulations were performed to validate this proposed algorithm and demonstrate its high performance in the multi-source situation even if the detection noises,optical property errors and phantom structure errors are involved in the forward imaging.

Key words: Image reconstruction,Graph cuts,Gradient-based algorithm,Phantom structure error