Abstract
We formulate a solution to the diffuse optical tomography (DOT) inverse problem as the minimization of an energy functional of the solution and the data. For the solution prior we introduce a local diffusion regularization potential with a threshold based on robust statistics (the Hubert function). We compare results on simulated data for the Hubert function and two other standard regularization functionals, Tikhonov and total variation.
Publication types
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Comparative Study
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Evaluation Study
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Research Support, Non-U.S. Gov't
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Validation Study
MeSH terms
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Algorithms*
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Artificial Intelligence*
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Computer Simulation
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Data Interpretation, Statistical
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Image Enhancement / methods*
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Image Interpretation, Computer-Assisted / methods*
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Imaging, Three-Dimensional / methods*
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Models, Biological*
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Models, Statistical
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Reproducibility of Results
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Sensitivity and Specificity
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Tomography, Optical / methods*