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dc.contributor.authorHänel, Claudiaen_US
dc.contributor.authorDemiralp, Ali C.en_US
dc.contributor.authorAxer, Markusen_US
dc.contributor.authorGrässel, Daviden_US
dc.contributor.authorHentschel, Bernden_US
dc.contributor.authorKuhlen, Torsten W.en_US
dc.contributor.editorBarbora Kozlikova and Tobias Schreck and Thomas Wischgollen_US
dc.date.accessioned2017-06-12T05:20:08Z
dc.date.available2017-06-12T05:20:08Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-043-7
dc.identifier.urihttp://dx.doi.org/10.2312/eurovisshort.20171145
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20171145
dc.description.abstract3D-Polarized Light Imaging (3D-PLI) provides data that enables an exploration of brain fibers at very high resolution. However, the visualization poses several challenges. Beside the huge data set sizes, users have to visually perceive the pure amount of information which might be, among other aspects, inhibited for inner structures because of occlusion by outer layers of the brain. We propose a clustering of fiber directions by means of spherical harmonics using a level-of-detail structure by which the user can interactively choose a clustering degree according to the zoom level or details required. Furthermore, the clustering method can be used for the automatic grouping of similar spherical harmonics automatically into one representative. An optional overlay with a direct vector visualization of the 3D-PLI data provides a better anatomical context.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCCS Concepts
dc.subjectHuman
dc.subjectcentered computing
dc.subject
dc.subject>Visualization techniques
dc.subjectScientific visualization
dc.titleInteractive Level-of-Detail Visualization of 3D-Polarized Light Imaging Data Using Spherical Harmonicsen_US
dc.description.seriesinformationEuroVis 2017 - Short Papers
dc.description.sectionheadersBiomedical and Biological Visualization
dc.identifier.doi10.2312/eurovisshort.20171145
dc.identifier.pages127-131


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