Visualization of white matter tracts with wrapped streamlines

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Visualization_of_White_Matter_Tracts_2005.pdf
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2005
Autor:innen
Enders, Frank
Sauber, Natascha
Hastreiter, Peter
Nimsky, Christopher
Stamminger, Marc
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VIS 05. IEEE Visualization, 2005.. IEEE, 2005, pp. 51-58. ISBN 0-7803-9462-3. Available under: doi: 10.1109/VISUAL.2005.1532777
Zusammenfassung

Diffusion tensor imaging is a magnetic resonance imaging method which has gained increasing importance in neuroscience and especially in neurosurgery. It acquires diffusion properties represented by a symmetric 2nd order tensor for each voxel in the gathered dataset. From the medical point of view, the data is of special interest due to different diffusion characteristics of varying brain tissue allowing conclusions about the underlying structures such as white matter tracts. An obvious way to visualize this data is to focus on the anisotropic areas using the major eigenvector for tractography and rendering lines for visualization of the simulation results. Our approach extends this technique to avoid line representation since lines lead to very complex illustrations and furthermore are mistakable. Instead, we generate surfaces wrapping bundles of lines. Thereby, a more intuitive representation of different tracts is achieved.

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004 Informatik
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Diffusion Tensor Imaging, Tractography, White Matter Tracts, Clustering
Konferenz
VIS 05. IEEE Visualization, 2005., Minneapolis, MN, USA
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Zitieren
ISO 690ENDERS, Frank, Natascha SAUBER, Dorit MERHOF, Peter HASTREITER, Christopher NIMSKY, Marc STAMMINGER, 2005. Visualization of white matter tracts with wrapped streamlines. VIS 05. IEEE Visualization, 2005.. Minneapolis, MN, USA. In: VIS 05. IEEE Visualization, 2005.. IEEE, 2005, pp. 51-58. ISBN 0-7803-9462-3. Available under: doi: 10.1109/VISUAL.2005.1532777
BibTex
@inproceedings{Enders2005Visua-5805,
  year={2005},
  doi={10.1109/VISUAL.2005.1532777},
  title={Visualization of white matter tracts with wrapped streamlines},
  isbn={0-7803-9462-3},
  publisher={IEEE},
  booktitle={VIS 05. IEEE Visualization, 2005.},
  pages={51--58},
  author={Enders, Frank and Sauber, Natascha and Merhof, Dorit and Hastreiter, Peter and Nimsky, Christopher and Stamminger, Marc}
}
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