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| Hauptseite > Publikationsdatenbank > Enhancement of precision and reduction of measuring points in tomographic reconstructions |
| Hauptseite > Publikationsdatenbank > Enhancement of precision and reduction of measuring points in tomographic reconstructions |
| Journal Article | PreJuSER-14723 |
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2011
North-Holland Publ.
Amsterdam
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Please use a persistent id in citations: doi:10.1016/j.physleta.2011.01.015
Abstract: Accurate external measurements are required in tomographic problems to obtain a reasonable knowledge of the internal structures. Crucial is the distribution of the external measuring points. We suggest a procedure how to systematically optimize this distribution viz, to increase the precision (i.e. to shrink error bars) of the reconstruction by detecting the important and by eliminating the irrelevant measuring points. In a realistic numerical example we apply our scheme to magnetotomography of fuel cells. The result is striking: Starting from a smooth distribution of measuring points on a surface of a cuboid around the fuel cell, the number of measuring points can systematically be reduced by more than 90%. At the same time the precision increases by a factor of nearly 3. (C) 2011 Elsevier B.V. All rights reserved.
Keyword(s): J ; Inverse problems (auto) ; Image reconstruction (auto) ; Fuel cells (auto)
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