DocumentCode :
870273
Title :
Direct algebraic reconstruction and optimal sampling in vector field tomography
Author :
Desbat, Laurent ; Wernsdörfer, Andreas
Author_Institution :
Lab. of Image Process., Modeling & Cognition Tech., CNRS, Grenoble, France
Volume :
43
Issue :
8
fYear :
1995
fDate :
8/1/1995 12:00:00 AM
Firstpage :
1798
Lastpage :
1808
Abstract :
Vector field tomography has been proven to be a very powerful technique for the noninvasive determination of vector field distribution such as in the case of a fluid velocity field. We show that classical tomographic sampling conditions ran essentially be applied to vector field tomography. Thus, essentially the same sampling schemes are obtained, and the interlaced scheme is also shown to be the most efficient scheme in vector field tomography. We then propose a direct algebraic approach for vector field tomography, with an efficient and robust algorithm for interlaced schemes. Numerical experiments showing the superiority of interlaced schemes are provided
Keywords :
algebra; signal reconstruction; signal sampling; tomography; vectors; direct algebraic reconstruction; fluid velocity field; interlaced scheme; numerical experiments; optimal sampling; robust algorithm; tomographic sampling conditions; vector field distribution; vector field tomography; Cognition; Geometry; Image processing; Image reconstruction; Laboratories; Noninvasive treatment; Reconstruction algorithms; Robustness; Sampling methods; Tomography;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.403339
Filename :
403339
Link To Document :
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