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Proceedings Paper

Joint reconstruction and segmentation of electron tomography data
Author(s): Ahmet Tuysuzoglu; W. Clem Karl; David Castanon; M. Selim Unlu
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Paper Abstract

Scanning transmission electron tomography is often used to reveal the internal structure of material samples. In this technique, a tilt series of tomographic projections is reconstructed to obtain volumetric information. The reconstructed scene is then segmented into regions with homogeneous properties to localize and quantify various material elements. Unfortunately, physical constraints limit the extent of the projection tilt series, leading to artifacts in the reconstructed volume, which can make subsequent segmentation difficult. In this work we use a different, discrete tomography, approach wherein we directly reconstruct only a limited and discrete set of pixel amplitudes, effectively performing the reconstruction and segmentation in a joint fashion. Unlike existing methods, the approach is based on direct formulation of the problem in the discrete domain. Solution of the subsequent challenging optimization problem is achieved through the iterative use of graph-cut methods applied to a physically motivated surrogate cost function. We show reconstruction results using synthetic phantom images for limited angle scenarios and compare them to conventional reconstruction techniques.

Paper Details

Date Published: 14 February 2013
PDF: 10 pages
Proc. SPIE 8657, Computational Imaging XI, 86570T (14 February 2013); doi: 10.1117/12.2013232
Show Author Affiliations
Ahmet Tuysuzoglu, Boston Univ. (United States)
W. Clem Karl, Boston Univ. (United States)
David Castanon, Boston Univ. (United States)
M. Selim Unlu, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 8657:
Computational Imaging XI
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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