Abstract

A nonlinear multigrid inversion algorithm is presented for solving computationally demanding optimizations in optical diffusion tomography. Simulation results demonstrate the potential for large computational saving, better reconstruction quality, and robust convergence.

© 2005 Optical Society of America

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