Hardware Accelerated Medical Data Visualisation on the Web

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dc.contributor.authorWei, Huien_US
dc.contributor.authorClapworthy, Gordon J.en_US
dc.contributor.authorLiu, E.en_US
dc.contributor.authorZhao, Y.en_US
dc.contributor.authorMcFarlane, N. M. B.en_US
dc.contributor.editorHamish Carr and Silvester Czanneren_US
dc.date.accessioned2013-11-08T10:32:00Z
dc.date.available2013-11-08T10:32:00Z
dc.date.issued2012en_US
dc.description.abstractThis paper proposes a way to develop high-quality real-time web-based medical 3D data visualisation. Isosurface extraction is used as an example to discuss how to use programmable Graphics Processing Units (GPUs) and shaders to improve rendering performance on the web. The method is designed to reduce data transmission. When data is ready, the performance penalty can be considered negligible. A method to estimate memory usage to balance client memory limitation and rendering quality is also described. A way of using the frame rate to measure performance on the web is suggested, which could be used in future web visualisation.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-93-7en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG12/069-076en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.2 [Computer Graphics]en_US
dc.subjectGraphics Systemsen_US
dc.subjectDistributed/network graphicsen_US
dc.titleHardware Accelerated Medical Data Visualisation on the Weben_US
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