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

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Abstract

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.

© 2009 OSA/SPIE

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