Show simple item record

Density Reconstruction Using Arbitrary Ray Sampling Schemes

dc.date.accessioned2004-10-01T20:34:17Z
dc.date.accessioned2018-11-24T10:10:26Z
dc.date.available2004-10-01T20:34:17Z
dc.date.available2018-11-24T10:10:26Z
dc.date.issued1977-09-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5757
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/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.language.isoen_US
dc.titleDensity Reconstruction Using Arbitrary Ray Sampling Schemesen_US


Files in this item

FilesSizeFormatView
AIM-440.pdf20.03Mbapplication/pdfView/Open
AIM-440.ps27.36Mbapplication/postscriptView/Open

This item appears in the following Collection(s)

Show simple item record