The measurement of radiative properties for disperse media has a broad application in high temperature flame combustion diagnosis

nondestructive testing

biomedical imaging and other related fields. Traditional direct measurement methods are mostly to measure the equivalent properties of the specimen

while precise measurements usually need to be obtained by inversion method. Transport-theroy-based reconstruction algorithm can effectively overcome this problem

however

it has a high computational burden and often slowly converging. Therefore

methods that have high accurate and low computation burden are desirable. In this paper

time-domain radiative transfer equation was applied to simulate the photon propagation of the pulse laser in disperse media and then to obtain abundant transmission and reflection signals of media boundary. Sequential quadratic programming algorithm was introduced to inverse the distribution of absorption and scattering coefficient of two -dimensional disperse media. The generalized Gaussian Markov random fields (GGMRF) model was adopted as regularization term to overcome the ill-posed nature of the inverse problem. Simultaneously

to reduce the computation time

the openMP parallel technology is applied to the part of the codes. The reconstruction results show that the SQP algorithm is a promising method to well reconstruct the distribution of absorption and scattering coefficient of two-dimensional disperse media.