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Proceedings Paper

Limited View Angle Tomographic Imaging Using A "Constrained Natural Elements" Decomposition
Author(s): L. Garnero; J. P. Hugonin; N. de Beaucoudrey; P. Chavel
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Paper Abstract

We propose a new method of tomographic image reconstruction from a limited set of projection data, which uses a decomposition of the object distribution on "constrained natural pixels or voxels". This method combines the advantages of the natural pixel decomposition, which matches exactly the measurements recording, and those of cons-trained algorithms, which incorporate a priori informations in the reconstruction problem. The natural elements are the elementary integration areas or volumes, covered by the beam paths. We propose in this method to weight each natural element with a function that can translate a priori informations on support and density. We have applied this method to limited angle axial tomography, and to coded aperture imaging, when the aperture contains several slits for application to laser plasmas microimaging.

Paper Details

Date Published: 18 January 1988
PDF: 8 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942127
Show Author Affiliations
L. Garnero, C.N.R.S. (France)
J. P. Hugonin, C.N.R.S. (France)
N. de Beaucoudrey, C.N.R.S. (France)
P. Chavel, C.N.R.S. (France)


Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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