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231223s2008 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2008.2002305
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|a eng
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|a Coifman, Ronald R
|e verfasserin
|4 aut
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|a Graph Laplacian tomography from unknown random projections
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|c 2008
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 30.10.2008
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|a Date Revised 11.09.2008
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|a published: Print
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|a Citation Status MEDLINE
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|a We introduce a graph Laplacian-based algorithm for the tomographic reconstruction of a planar object from its projections taken at random unknown directions. A Laplace-type operator is constructed on the data set of projections, and the eigenvectors of this operator reveal the projection orientations. The algorithm is shown to successfully reconstruct the Shepp-Logan phantom from its noisy projections. Such a reconstruction algorithm is desirable for the structuring of certain biological proteins using cryo-electron microscopy
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|a Journal Article
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|a Shkolnisky, Yoel
|e verfasserin
|4 aut
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|a Sigworth, Fred J
|e verfasserin
|4 aut
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|a Singer, Amit
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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|g 17(2008), 10 vom: 01. Okt., Seite 1891-9
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|g volume:17
|g year:2008
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|g month:10
|g pages:1891-9
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|u http://dx.doi.org/10.1109/TIP.2008.2002305
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