Diffusion model has a disadvantage that exist a large model error in the near light source which lead to a lower accuracy for inversion of optical properties parameters. Therefore, the article proposed a moment-transformation method, which change the form of raw data and improve inverse accuracy. The article compared inverse accuracy of the optical properties under different orders conditions and statistical distribution of fit residuals and analyzed relative error of the reconstruction coefficient under different signal to noise ratio. The results of all set data indicate: 3 order moment-transformation can significantly improve estimation accuracy both optical parameters that 7.04% for μa and 5.55% for μ′s under the no noise condition. three order moment-transformation compared to original and the natural logarithm data transformation, the relatively error decrease 57.59%、8.57% for μa and 42.55%、32.73% for μ′s, respectively. In the case of the certain signal to noise ratio (greater than 50 dB), three order moment-transformation still get high inversion accuracy of optical parameter. Therefore, based on the distance weighted data transformation is an effective means of measuring optical parameters.