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

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

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

Author(s) -

Glenn R. Myers,

C. David L. Thomas,

David M. Paganin,

Timur E. Gureyev,

John G. Clement

Publication year - 2010

Publication title -

applied physics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.182

H-Index - 442

eISSN - 1077-3118

pISSN - 0003-6951

DOI - 10.1063/1.3279150

Subject(s) - a priori and a posteriori , tomography , tomographic reconstruction , projection (relational algebra) , iterative reconstruction , attenuation , range (aeronautics) , computer science , algorithm , mathematics , computer vision , optics , physics , materials science , philosophy , epistemology , composite material

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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