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dc.contributor.authorSchurade, Ralphen_US
dc.contributor.authorHlawitschka, Marioen_US
dc.contributor.authorHamann, Bernden_US
dc.contributor.authorScheuermann, Geriken_US
dc.contributor.authorKnösche, Thomas R.en_US
dc.contributor.authorAnwander, Alfreden_US
dc.contributor.editorDirk Bartz and Charl Botha and Joachim Hornegger and Raghu Machiraju and Alexander Wiebel and Bernhard Preimen_US
dc.date.accessioned2014-01-29T17:09:01Z
dc.date.available2014-01-29T17:09:01Z
dc.date.issued2010en_US
dc.identifier.isbn978-3-905674-28-6en_US
dc.identifier.issn2070-5786en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VCBM/VCBM10/041-048en_US
dc.description.abstractbundles in the embedding tissue structures. White matter fiber tractography from diffusion tensor imaging (DTI) is, in general, visualized as 3D lines or tubes together with 2D anatomical MR slices or surfaces. However, determining the exact location of the fiber tracts in their surrounding anatomy is still unsolved. Rendering the embedding anatomy of fiber tracts provides new insight into the exact spatial arrangement of fiber bundles, their spatial relation, and tissue properties surrounding the tracts [SSA*08]. We propose a virtual Klingler dissection method of brain white matter creating curved dissection surfaces locally parallel to user specified fiber bundles. To achieve this effect in computer visualization, we create free-form clipping surfaces that align with the fiber structure of the brain and texture these according to structures they intersect or align with. An optimal view on the naturally embedding curved anatomical structure of the surrounding tissue enables the study of location and course of fiber bundles and the specific relation between different fiber systems in the brain. Indication of the local fiber orientation on the dissected brain surface leads to a representation of both, structural and directional information. The system is demonstrated on a human DTI dataset illustrating the dissection of the sub-insular white matter.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.3]: Line and Curve Generation - Life and Medical Sciences [J.3.1]: Healthen_US
dc.titleVisualizing White Matter Fiber Tracts with Optimally Fitted Curved Dissection Surfacesen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US


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