Rapid convergence to the inverse solution regularized with Lorentzian distributed function for NIR DOT

摘要

A promising method achieving rapid convergence for image reconstruction is introduced for the continuous-wave NIR-DOT. An approach employs a constraint based on Lorentzian distributed function incorporated into Tikhonov regularization, thereby rapidly converging a stable solution.