Diffuse Raman tomography (DRT) is a new in vivo, label-free, three-dimensional optical imaging technique, and it combines the molecular fingerprint of Raman spectrum and the depth resolution of diffuse optical tomography. A feasibility study on the DRT method based on the Monte-Carlo photon migration model is proposed. The proposed method establishes a fast and effective Raman spectra data simulator according to the Green′s reciprocity theorem，which can objectively simulate the measured Raman spectra data at different realistic signal-to-noise ratios. Combined with the linear reconstruction technique of diffuse fluorescence tomography, the proposed method can be used in the multi-wavelength Raman spectral analysis of laminar tissues. A laminar tissue model composed of five biochemical compositions is simulated and reconstructed from 178 wavelength Raman spectral analysis, which shows that linear reconstruction technique of the proposed DRT can construct effectively the three-dimensional relative concentration distributions of different components.