Trial-and-error approach to the bioluminescence tomography inverse problem

Bioluminescence tomography is a new modality of optical molecular imaging for localizing and quantifying bioluminescence source in a small living animal. The reconstruction of internal bioluminescent source is still a difficult problem. In this paper, a trial and error approach based on Monte Carlo method is developed for localizing the bioluminescent source. The iteration number of the trial and error method is reduced obviously by using a priori knowledge, which is obtained by analyzing the two flux density curves that pass through the maximum photon flux density. The feasibility and accuracy of this method are verified by numerical simulations.