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@ARTICLE{Lustfeld:14723,
author = {Lustfeld, H. and Hirschfeld, J. A. and Reißel, M. and
Steffen, B.},
title = {{E}nhancement of precision and reduction of measuring
points in tomographic reconstructions},
journal = {Physics letters / A},
volume = {375},
issn = {0375-9601},
address = {Amsterdam},
publisher = {North-Holland Publ.},
reportid = {PreJuSER-14723},
pages = {1167 - 1171},
year = {2011},
note = {Record converted from VDB: 12.11.2012},
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.},
keywords = {J (WoSType)},
cin = {PGI-1 / IAS-1 / JSC},
ddc = {530},
cid = {I:(DE-Juel1)PGI-1-20110106 / I:(DE-Juel1)IAS-1-20090406 /
I:(DE-Juel1)JSC-20090406},
pnm = {Grundlagen für zukünftige Informationstechnologien
(FUEK412) / Scientific Computing (FUEK411) / 411 -
Computational Science and Mathematical Methods (POF2-411)},
pid = {G:(DE-Juel1)FUEK412 / G:(DE-Juel1)FUEK411 /
G:(DE-HGF)POF2-411},
shelfmark = {Physics, Multidisciplinary},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000287780300001},
doi = {10.1016/j.physleta.2011.01.015},
url = {https://juser.fz-juelich.de/record/14723},
}