Reflected, transmitted and scattered light from tissues contains information about tissue properties. Hence, it has potential to be used for noninvasive characterization of biomedical tissues, which can lead to the development of techniques for the early detection of cancer. Time-resolved Monte Carlo model can predict time dependent light distribution in tissues and has advantages of high precision and flexibility and can be used in many tissues. But there are some problems lie in Henyey-Greenstein (HG) phase function used in traditional Monte Carlo model. Thus, Mie phase function based on Mie theory is introduced. Comparison of time-resolved Monte Carlo simulations using several phase functions and experimental data shows that Mie phase function can predict diffuse reflectance of human tissue more real than HG phase function. Nevertheless, because Mie phase function is relative to scattering particle sizes of tissues and the sizes are different, the choice of scattering particle model is difficult when aiming at different particles distribution models.