Fiber Stipples for Crossing Tracts in Probabilistic Tractography

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dc.contributor.authorReichenbach, Andreen_US
dc.contributor.authorGoldau, Mathiasen_US
dc.contributor.authorHlawitschka, Marioen_US
dc.contributor.editorKatja Bühler and Lars Linsen and Nigel W. Johnen_US
dc.date.accessioned2015-09-14T04:49:02Z
dc.date.available2015-09-14T04:49:02Z
dc.date.issued2015en_US
dc.description.abstractGiven diffusion weighted magnetic resonance (dMRI) data, tractography methods may reconstruct estimations of neural connections of the human brain, so called tractograms. Probabilistic tractography algorithms generate a scalar value for each point of the brain, which describes the confidence of an existing structural connection to a predefined seed region. Recently presented Fiber-Stippling is a promising tool to effectively visualize such scalar values on axis aligned cutting planes. However, Fiber-Stippling only works with principal diffusion directions and cannot handle complex tract configurations, such as overlapping or crossing tracts, which are very important to neuroscience. In this work we present an illustrative technique for probabilistic tracts in such configurations, which is based on Fiber-Stippling. Our technique supports multiple diffusion directions as given by high angular resolution diffusion images (HARDI) and hence can visualize crossing tracts, while preserving all of the advantages of Fiber-Stippling. We solve this by visually supporting the stipples, while not altering the original visualization metaphor. Our work is an important contribution to adequate visualization of neuroanatomy, as crossing tracts are a frequent phenomen inside of the human brain. Moreover, our technique may be customized to crossing line fields in general.en_US
dc.description.sectionheadersVolume Visualizationen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.doi10.2312/vcbm.20151214en_US
dc.identifier.isbn978-3-905674-82-8en_US
dc.identifier.issn2070-5786en_US
dc.identifier.pages113-122en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20151214en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleFiber Stipples for Crossing Tracts in Probabilistic Tractographyen_US
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VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine