Imaging in Diffusing Media with a Neural Net Formulation: A Problem in Large Scale Computation

F.H. Schlereth et al. (1992)

Summary

A neural network scheme is described, based on a modified backpropagation algorithm for the recovery of images of the interior of objects with diffuse radiation. The method is capable of considering isotropic and any degree of forward directed scatter. The computational requirements of the method are significantly greater tahn for coherent (i.e. straight-line) based imaging schemes and for this reason we have developed a machine architecture and machine, Kilonode. Results are shown for 2-D simulations of media having simple structure and can readily be extended to 3-D. Training vectors for the neural netwrok are derived from time-independent and time-resolved signals.