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Proceedings Paper

3-D reconstruction using a limited number of projections
Author(s): Catherine Klija; Blandine Lavayssiere
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Paper Abstract

We present a new iterative algorithm for 3D reconstruction under constraints from a limited number of radiographic projections, with adjustment of the constraints during the iterations. The first step of the algorithm is a classical iterative reconstruction ART type method (Algebraic Reconstruction Technique) which provides a rough volumic reconstructed 3D zone containing a flaw. Then, this reconstructed zone is modelled by a Markov Random Field (MRF) which allows us to estimate some 3D support and orientation constraints using a Bayesian restoration method. This fundamental step is an important one in the sense that it allows the introduction of local geometric a priori knowledge concerning the faults. The next step consists in reintroducing these strong constraints in the reconstruction algorithm. Few iterations of the algorithm are necessary to improve quality of the reconstructed 3D zone. Simulated radiographic projections allow the performance of the algorithm to be evaluated.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24231
Show Author Affiliations
Catherine Klija, Telecom Paris (France)
Blandine Lavayssiere, EDF-DER (France)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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