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dc.contributor.author Rubin, C. M. E.
dc.contributor.author Marti, R.
dc.contributor.author Denton, Erika R. E.
dc.contributor.author Zwiggelaar, Reyer
dc.date.accessioned 2008-03-04T14:45:39Z
dc.date.available 2008-03-04T14:45:39Z
dc.date.issued 2004
dc.identifier.citation Rubin , C M E , Marti , R , Denton , E R E & Zwiggelaar , R 2004 , ' Two-Dimensional–Three-Dimensional Correspondence in Mammography ' Cybernetics and Systems , vol 35 , no. 1 , pp. 85-105 . , 10.1080/019697204902446858 en
dc.identifier.issn 0196-9722
dc.identifier.other PURE: 75908
dc.identifier.other dspace: 2160/525
dc.identifier.uri http://hdl.handle.net/2160/525
dc.description R. Marti, C. Rubin, E. Denton and R. Zwiggelaar, '2D-3D correspondence in mammography', Cybernetics and Systems 35 (1), 85-105 (2004) en
dc.description.abstract We present a framework for the registration and correspondence of magnetic resonance (MR) (three-dimensional data, 3D, data) and x-ray (two-dimensional data, 2D, data) mammographic images. The robustness of this work relies on the development of a novel method to establish nonlinear correspondence between modalities of different dimensionality, which also represent different physical tissue aspects. The correspondence is based on a 2D-2D matching process, which takes into account features from internal linear structures from both images and a measure of global similarity between modalities (Martí et al., International Journal of Pattern Recognition and Artificial Intelligence , vol. 16, no. 3, pp. 331-340, 2002). The 2D-3D correspondence relies on an intermediate step, which establishes registration between the 2D x-ray image and a projection of the 3D MR data. Initial quantitative and qualitative evaluation results, based on a small data set, are presented that show the validity of the developed approach. en
dc.format.extent 21 en
dc.language.iso eng
dc.relation.ispartof Cybernetics and Systems en
dc.title Two-Dimensional–Three-Dimensional Correspondence in Mammography en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1080/019697204902446858
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Vision, Graphics and Visualisation Group en
dc.description.status Peer reviewed en


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