1 October 1997 Generalized support constraint for three-dimensional reconstruction from incomplete Fourier spectra
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J. of Electronic Imaging, 6(4), (1997). doi:10.1117/12.276852
Abstract
Many imaging systems involve a loss of information that requires the incorporation of prior knowledge in the restoration/reconstruction process. We focus on the typical case of 3D reconstruction from an incomplete set of projections. An approach based on constrained optimization is introduced. This approach provides a powerful mathematical framework for selecting a specific solution from the set of feasible solutions; this is done by minimizing some criteria depending on prior densitometric information that can be interpreted through a generalized support constraint. We propose a global optimization scheme using a deterministic relaxation algorithm based on Bregman's algorithm associated with half-quadratic minimization techniques. When used for 3D vascular reconstruction from 2D digital subtracted angiography (DSA) data, such an approach enables the reconstruction of a well-contrasted 3D vascular network in comparison with results obtained using standard algorithms.
Etienne P. Payot, Francoise J. Preteux, Yves L. Trousset, Regis Guillemaud, "Generalized support constraint for three-dimensional reconstruction from incomplete Fourier spectra," Journal of Electronic Imaging 6(4), (1 October 1997). http://dx.doi.org/10.1117/12.276852
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KEYWORDS
Reconstruction algorithms

Fourier transforms

3D image processing

Algorithm development

Optimization (mathematics)

3D modeling

Chemical elements

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