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  Visualizing white matter fiber tracts with optimally fitted curved dissection surfaces

Schurade, R., Hlawitschka, M., Hamann, B., Scheuermann, G., Knösche, T. R., & Anwander, A. (2010). Visualizing white matter fiber tracts with optimally fitted curved dissection surfaces. Eurographics Workshop on Visual Computing for Biology and Medicine, Dirk Bartz, Charl Botha, Joachim Hornegger and Raghu Machiraju (Editors).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-E847-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-E869-4
Genre: Conference Paper

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 Creators:
Schurade, Ralph1, Author              
Hlawitschka, Mario, Author
Hamann, Bernd, Author
Scheuermann, Gerik, Author
Knösche, Thomas R.1, Author              
Anwander, Alfred1, Author              
Affiliations:
1Methods and Development Unit Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634557              

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Free keywords: Categories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.3]: Line and Curve Generation - Life and Medical Sciences [J.3.1]: Health
 Abstract: 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.

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Language(s):
 Dates: 2010
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 512063
Other: P11532
DOI: 10.2312/VCBM/VCBM10/041-048
 Degree: -

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Title: Eurographics Workshop on Visual Computing for Biology and Medicine
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: Dirk Bartz, Charl Botha, Joachim Hornegger and Raghu Machiraju (Editors) Sequence Number: - Start / End Page: - Identifier: -