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Article: Weighted backprojection approach to cone beam 3D projection reconstruction for truncated spherical detection geometry

TitleWeighted backprojection approach to cone beam 3D projection reconstruction for truncated spherical detection geometry
Authors
Issue Date1994
Citation
Ieee Transactions On Medical Imaging, 1994, v. 13 n. 1, p. 110-121 How to Cite?
AbstractA new analytical three-dimensional cone beam reconstruction algorithm is presented for truncated spherical detection geometry. The basic idea of the proposed algorithm is the formation of spatially invariant 3D blurred back-projected volumetric image by the use of the weighted backprojection of cone beam projection data and subsequent 3D filtering using an acceptance angle dependent ρ filter. The backprojection weighting function is calculated on the basis of each given geometrical condition, i.e., detection geometry or degree of truncation, position of cone beam apex, and backprojection point. The proposed algorithm is derived analytically and is computationally efficient. Performance of the algorithm is evaluated by the reconstruction of 3D volumetric images using simulated data from arbitrarily truncated spherical detector geometries.
Persistent Identifierhttp://hdl.handle.net/10722/154999
ISSN
2015 Impact Factor: 3.756
2015 SCImago Journal Rankings: 1.941

 

DC FieldValueLanguage
dc.contributor.authorCho, Zang Heeen_US
dc.contributor.authorWu, Ed Xen_US
dc.contributor.authorHilal, Sadek Ken_US
dc.date.accessioned2012-08-08T08:31:27Z-
dc.date.available2012-08-08T08:31:27Z-
dc.date.issued1994en_US
dc.identifier.citationIeee Transactions On Medical Imaging, 1994, v. 13 n. 1, p. 110-121en_US
dc.identifier.issn0278-0062en_US
dc.identifier.urihttp://hdl.handle.net/10722/154999-
dc.description.abstractA new analytical three-dimensional cone beam reconstruction algorithm is presented for truncated spherical detection geometry. The basic idea of the proposed algorithm is the formation of spatially invariant 3D blurred back-projected volumetric image by the use of the weighted backprojection of cone beam projection data and subsequent 3D filtering using an acceptance angle dependent ρ filter. The backprojection weighting function is calculated on the basis of each given geometrical condition, i.e., detection geometry or degree of truncation, position of cone beam apex, and backprojection point. The proposed algorithm is derived analytically and is computationally efficient. Performance of the algorithm is evaluated by the reconstruction of 3D volumetric images using simulated data from arbitrarily truncated spherical detector geometries.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Medical Imagingen_US
dc.titleWeighted backprojection approach to cone beam 3D projection reconstruction for truncated spherical detection geometryen_US
dc.typeArticleen_US
dc.identifier.emailWu, Ed X:ewu1@hkucc.hku.hken_US
dc.identifier.authorityWu, Ed X=rp00193en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/42.276149en_US
dc.identifier.scopuseid_2-s2.0-0028400620en_US
dc.identifier.volume13en_US
dc.identifier.issue1en_US
dc.identifier.spage110en_US
dc.identifier.epage121en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridCho, Zang Hee=7006289037en_US
dc.identifier.scopusauthoridWu, Ed X=7202128034en_US
dc.identifier.scopusauthoridHilal, Sadek K=7004804427en_US

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