A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers
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DOI: 10.1109/tci.2017.2694607
Abstract: Regularized iterative reconstruction methods in computed tomography can be effective when reconstructing from mildly inaccurate undersampled measurements. These approaches will fail, however, when more prominent data errors, or outliers, are present. These outliers are associated… read more here.
Keywords: reconstruction; data outliers; student function; function ... See more keywords