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Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography
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 ...
Fractional regularization to improve photoacoustic tomographic image reconstruction
Photoacoustic tomography involves reconstructing the initial pressure rise distribution from the measured acoustic boundary data. The recovery of the initial pressure rise distribution tends to be an ill-posed problem in ...