Applications of Optimal Sampling Lattices for Volume Acquisition via 3D Computed Tomography

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dc.contributor.authorXu, Fangen_US
dc.contributor.authorMueller, Klausen_US
dc.contributor.editorH.-C. Hege and R. Machiraju and T. Moeller and M. Srameken_US
dc.date.accessioned2014-01-29T17:53:55Z
dc.date.available2014-01-29T17:53:55Z
dc.date.issued2007en_US
dc.description.abstractThere has been mounting evidence that the familiar Cartesian lattices, while convenient for signal processing and representation, are sub-optimal when it comes to signal fidelity. More suitable in this respect are optimal sampling lattices, such as the Hexagonal and Body Centered Cartesian (BCC) lattice, and recent work has employed these in the areas of volume rendering and image processing. In this paper we explore various applications of these lattices within the context of 3D Computed Tomographic Reconstruction, both in terms of the (2D) detector and the (3D) reconstructed object, and a theoretical analysis is provided. We combine this analysis with a practical application, that is, the use of these lattices within a real-time GPU-accelerated 3D reconstruction platform, in which performance is also of an immediate concern.en_US
dc.description.seriesinformationEurographics/IEEE VGTC Symposium on Volume Graphicsen_US
dc.identifier.isbn978-3-905674-03-3en_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttps://doi.org/10.2312/VG/VG07/057-064en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CSS): I.3.3 [Computer Graphics]: Display Algorithms.en_US
dc.titleApplications of Optimal Sampling Lattices for Volume Acquisition via 3D Computed Tomographyen_US
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VG07: Eurographics/IEEE VGTC Symposium on Volume Graphics 2007