title: A generalized hybrid algorithm for bioluminescence tomography.
abstract: Bioluminescence tomography (BLT) is a promising optical molecular imaging technique on the frontier of biomedical optics. In this paper, a generalized hybrid algorithm has been proposed based on the graph cuts algorithm and gradient-based algorithms. The graph cuts 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 have been 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.
authors.affiliation: LMAM, School of Mathematical Sciences, Peking University, Beijing 100871, China.
authors.forename: Shengkun
authors.initials: S
authors.lastname: Shi
authors.forename: Heng
authors.initials: H
authors.lastname: Mao
keywords: (100.3190) Inverse problems; (170.3660) Light propagation in tissues; (170.3880) Medical and biological imaging; (170.6960) Tomography