DocumentCode :
1853592
Title :
Array processing techniques and shape reconstruction in tomography
Author :
Mohammad-Djafari, Ali ; Khayi, Yassine
Author_Institution :
Lab. des Signaux et Syst., Ecole Superieure d´´Electr., Gif-sur-Yvette, France
Volume :
5
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
3785
Abstract :
We consider the problem of the shape reconstruction of a compact object in X-ray tomography when the contour of the object is modeled by a polygon. The problem is then to estimate the vertices of that polygon from a limited number of projections. The main objectives of this paper are: (i) to show how this reconstruction problem becomes equivalent to a generic mathematical inversion problem which arises also in linear antenna array processing (AP); (ii) to evaluate the performance of the classical AP techniques to handle this reconstruction problem, and, (iii) to propose a new method based on Bayesian estimation approach for the resolution of this inverse problem
Keywords :
Bayes methods; array signal processing; direction-of-arrival estimation; image reconstruction; inverse problems; nondestructive testing; tomography; Bayesian estimation; X-ray tomography; inverse problem; linear antenna array processing; mathematical inversion problem; nondestructive testing; object contour; performance evaluation; polygon; projections; shape reconstruction; vertices; Array signal processing; Bayesian methods; Image reconstruction; Inverse problems; Least squares methods; Performance evaluation; Reconstruction algorithms; Shape; Testing; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.604701
Filename :
604701
Link To Document :
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