An image reconstruction method for time-domain fluorescence diffuse optical tomography is proposed using a two-dimensional (2D) turbid medium of circular domain. The methodology based on a linear generalized pulse spectrum technique, employs analytic expressions of the Laplace-transformed time-domain photon-diffusion model to construct a Born normalized inverse model. The resultant linear inversions introducing a pair of real domain transform-factors are solved with an algebraic reconstruction technique to separate distributions of the fluorescent yield and lifetime. The effectiveness and feasibility of the proposed scheme have been validated by experiment using multi-channel time-correlated single-photon-counting system. The results show that the approach retrieves the position and shape of the targets with a reasonable accuracy.