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

Title
A general few-projection method for tomographic reconstruction of samples consisting of several distinct materials
Publication Date
2010
Author(s)
Myers, Glenn R
Thomas, C David L
Paganin, David
Gureyev, Timur
( author )
OrcID: https://orcid.org/0000-0002-1103-0649
Email: tgureyev@une.edu.au
UNE Id une-id:tgureyev
Clement, John G
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
American Institute of Physics
Place of publication
United States of America
DOI
10.1063/1.3279150
UNE publication id
une:8644
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.
Link
Citation
Applied Physics Letters, 96(2), p. 021105-1-021105-3
ISSN
1077-3118
0003-6951
1520-8842
Start page
021105-1
End page
021105-3

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