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dc.contributor.authorChen, C.*
dc.contributor.authorSheng, Y.*
dc.contributor.authorLi, F.*
dc.contributor.authorZhang, G.*
dc.contributor.authorUgail, Hassan*
dc.date.accessioned2017-02-01T10:30:19Z
dc.date.available2017-02-01T10:30:19Z
dc.date.issued2015
dc.identifier.citationChen C, Sheng Y, Li F, Zhang G and Ugail H (2015) A PDE-based Head Visualization Method with CT Data. Computer Animation and Virtual Worlds. DOI: 10.1002/cav.1683. In Press.en_US
dc.identifier.urihttp://hdl.handle.net/10454/11233
dc.descriptionnoen_US
dc.description.abstractIn this paper, we extend the use of the partial differential equation (PDE) method to head visualization with computed tomography (CT) data and show how the two primary medical visualization means, surface reconstruction, and volume rendering can be integrated into one single framework through PDEs. Our scheme first performs head segmentation from CT slices using a variational approach, the output of which can be readily used for extraction of a small set of PDE boundary conditions. With the extracted boundary conditions, head surface reconstruction is then executed. Because only a few slices are used, our method can perform head surface reconstruction more efficiently in both computational time and storage cost than the widely used marching cubes algorithm. By elaborately introducing a third parameter w to the PDE method, a solid head can be created, based on which the head volume is subsequently rendered with 3D texture mapping. Instead of designing a transfer function, we associate the alpha value of texels of the 3D texture with the PDE parameter w through a linear transform. This association enables the production of a visually translucent head volume. The experimental results demonstrate the feasibility of the developed head visualization method.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1002/cav.1683en_US
dc.subjectHead visualization; Partial differential equation (PDE) method; Computed tomography (CT)en_US
dc.titleA PDE-based head visualization method with CT dataen_US
dc.status.refereedyesen_US
dc.date.Accepted2015-09-10
dc.date.application2015-11-30
dc.typeArticleen_US
dc.type.versionNo full-text in the repositoryen_US


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