Iterative Reconstruction Of Optical Parameters With Monte Carlo Simulation

Biological tissue optical is the important part of Biomedical Photonics and LightMedicine, including two parts: the model of the process of biological tissue opticaltransmission and the reconstruction of theoretical parameters of tissues in vivo. As oneof the hot spots in the field of biological tissue optical research, the reconstruction of thetissue optical parameters has great theoretical and practical significance in the field ofphysiological and pathological diagnosis of organization and provides theoretical andexperimental basis for photodynamic therapy. However, the reconstruction of opticalparameters that differs from that the reconstruction of the target in the opticalparameters of biological tissue is a relatively difficult nonlinear problem.To solve the problem above, a method for reconstruction of biological tissueoptical parameters is proposed in this paper, which is called iterative MC method andbased on the theory of Monte Carlo method simulation for biological tissue opticaltransmission. First, the forward model of light propagation is calculated in the iterativeMC method for reconstruction of optical parameters. Second, the scattering coefficientis determined by the half width of the wave distribution of light intensity. Once thescattering coefficient is calculated, the absorption coefficient is determined by theamplitude of light intensity. The whole iterative convergent procedure of the method isbased on MC simulation. The key point of this algorithm is that we must reconstructscattering coefficient firstly and then rebuild the absorption coefficient. In order toverify the accuracy of the algorithm, we developed a cross-platform light transmissionsimulation software–QT-MOSE to get the forward simulation data of the photonpropagation in biological tissue independently. A multilayered daicel phantom is used toreconstruct the optical parameters for real experiment. We compared the result of theexperiment based on this algorithm with that of table look-up method. The comparisonresult shows that the accuracy of the method has a good agreement with that of tablelook-up method. The result shows that the algorithm has a great applied potential in thefield of biological tissue optical research.