NEAR-INFRARED OPTICAL TOMOGRAPHY IMAGE RECONSTRUCTION APPROACH BASED ON TWO-LAYERED BP NEURAL NETWORK

摘要

An image-reconstruction approach for optical tomography is presented, in which a two-layered BP neural network is used to distinguish the tumor location. The inverse problem is solved as optimization problem by Femlab software and Levenberg–Marquardt algorithm. The concept of the average optical coefficient is proposed in this paper, which is helpful to understand the distribution of the scattering photon from tumor. The reconstructive $ar{mu}_s'$ by the trained network is reasonable for showing the changes of photon number transporting inside tumor tissue. It realized the fast reconstruction of tissue optical properties and provided optical OT with a new method.