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Local diffusion regularization method for optical tomography reconstruction by using robust statistics.

Abdel Douiri·Martin Schweiger·Jason Riley·Simon Arridge
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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.

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AlgorithmsArtificial IntelligenceComputer SimulationData Interpretation, StatisticalImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalModels, BiologicalModels, StatisticalReproducibility of ResultsSensitivity and SpecificityTomography, OpticalComparative StudyEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov'tValidation Study

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BibTeXRIS

Abdel Douiri, Martin Schweiger, Jason Riley, Simon Arridge. 2005-09-15. Local diffusion regularization method for optical tomography reconstruction by using robust statistics.. https://doi.org/10.1364/ol.30.002439

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