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• W1989489564 abstract "Near-Infrared (NIR) tomographic image reconstruction is a non-linear, ill-posed and ill-conditioned problem, and so in this study, different ways of penalizing the objective function with structural information were investigated. A simple framework to incorporate structural priors is presented, using simple weight matrices that have either Laplacian or Helmholtz-type structures. Using both MRI-derived breast geometry and phantom data, a systematic and quantitative comparison was performed with and without spatial priors. The Helmholtz-type structure can be seen as a more generalized approach for incorporating spatial priors into the reconstruction scheme. Moreover, parameter reduction (i.e. hard prior information) in the imaging field through the enforcement of spatially explicit regions may lead to erroneous results with imperfect spatial priors." @default.
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• W1989489564 date "2007-01-01" @default.
• W1989489564 modified "2023-10-13" @default.
• W1989489564 title "Structural information within regularization matrices improves near infrared diffuse optical tomography" @default.
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• W1989489564 doi "https://doi.org/10.1364/oe.15.008043" @default.
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