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dc.contributor.authorHorn, Berthold K.P.en_US
dc.date.accessioned2004-10-01T20:34:17Z
dc.date.available2004-10-01T20:34:17Z
dc.date.issued1977-09-01en_US
dc.identifier.otherAIM-440en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5757
dc.description.abstractMethods for calculating the distribution of absorption densities in a cross section through an object from density integrals along rays in the plane of the cross section are well known, but are restricted to particular geometries of data collection. So-called convolutional-backprojection-summation methods, used now for parallel ray data, have recently been extended to special cases of the fan-beam reconstruction problem by the addition of pre- and post-multiplication steps. In this paper, I present a technique for deriving reconstructing algorithms for arbitrary ray-sampling schemes: the resulting algorithms entail the use of a general linear operator, but require little more computation than the convolutional methods, which represent special cases.en_US
dc.format.extent57 p.en_US
dc.format.extent27367063 bytes
dc.format.extent20037849 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-440en_US
dc.titleDensity Reconstruction Using Arbitrary Ray Sampling Schemesen_US


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