Fast Deformation of Volume Data Using Tetrahedral Mesh Rasterization

dc.contributor.authorGascon, Jorgeen_US
dc.contributor.authorEspadero, Jose M.en_US
dc.contributor.authorPerez, Alvaro G.en_US
dc.contributor.authorTorres, Rosellen_US
dc.contributor.authorOtaduy, Miguel A.en_US
dc.contributor.editorTheodore Kim and Robert Sumneren_US
dc.date.accessioned2016-02-18T12:01:43Z
dc.date.available2016-02-18T12:01:43Z
dc.date.issued2013en_US
dc.description.abstractMany inherently deformable structures, such as human anatomy, are often represented using a regular volumetric discretization, e.g., in medical imaging. While deformation algorithms employ discretizations that deform themselves along with the material, visualization algorithms are optimized for regular undeformed discretizations. In this paper, we propose a method to transform highresolution volume data embedded in a deformable tetrahedral mesh. We cast volume deformation as a problem of tetrahedral rasterization with 3D texture mapping. Then, the core of our solution to volume data deformation is a very fast algorithm for tetrahedral rasterization. We perform rasterization as a massively parallel operation on target voxels, and we minimize the number of voxels to be handled using a multi-resolution culling approach. Our method allows the deformation of volume data with over 20 million voxels at interactive rates.en_US
dc.description.sectionheadersBendy, Smoky, Smashyen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animationen_US
dc.identifier.doi10.1145/2485895.2485917en_US
dc.identifier.isbn978-1-4503-2132-7en_US
dc.identifier.issn1727-5288en_US
dc.identifier.pages181-186en_US
dc.identifier.urihttps://doi.org/10.1145/2485895.2485917en_US
dc.publisherACM SIGGRAPH / Eurographics Associationen_US
dc.subjectCR Categoriesen_US
dc.subjectI.3.3 [Computational Geometry and Object Modeling]en_US
dc.subjectPhysically based modelingen_US
dc.subjectKeywordsen_US
dc.subjectVolume data deformationen_US
dc.subjecttetrahedral rasterizationen_US
dc.titleFast Deformation of Volume Data Using Tetrahedral Mesh Rasterizationen_US
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