A general few-projection method for tomographic reconstruction of samples consisting of several distinct materials

Glenn R Myers, C David L Thomas, David Paganin, Timur Eugenievich Gureyev, John G Clement

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    Abstract

    We present a method for tomographic reconstruction of objects containing several distinct materials, which is capable of accurately reconstructing a sample from vastly fewer angular projections than required by conventional algorithms. The algorithm is more general than many previous discrete tomography methods, as: (i) a priori knowledge of the exact number of materials is not required; (ii) the linear attenuation coefficient of each constituent material may assume a small range of a priori unknown values. We present reconstructions from an experimental x-ray computed tomography scan of cortical bone acquired at the SPring-8 synchrotron
    Original languageEnglish
    Pages (from-to)021105-1 - 021105-3
    Number of pages3
    JournalApplied Physics Letters
    Volume96
    Issue number2
    DOIs
    Publication statusPublished - 2010

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