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Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography
(2018)
Photoacoustic tomography tends to be an ill-conditioned problem with noisy limited data, requiring imposition of regularization constraints like standard Tikhonov or total-variation to reconstruct meaningful initial pressure ...