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

Glenn R. Myers; C. David L. Thomas; David M. Paganin; Timur E. Gureyev; John G. Clement

doi:10.1063/1.3279150

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

Glenn R. Myers, C. David L. Thomas, David M. Paganin, Timur E. Gureyev, John G. Clement

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13 Citations (Scopus)

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 language	English
Article number	021105
Journal	Applied Physics Letters
Volume	96
Issue number	2
DOIs	https://doi.org/10.1063/1.3279150
Publication status	Published - 2010

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10.1063/1.3279150

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AU - Clement, John G.

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AB - 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.

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

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