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Authors: Stefan Philips 1 ; Mario Hlawitschka 2 and Gerik Scheuermann 1

Affiliations: 1 Leipzig University and Image and Signal Processing Group, Germany ; 2 Leipzig University of Applied Sciences, Faculty of Computer Science and Mathematics and Natural Sciences, Germany

ISBN: 978-989-758-289-9

Keyword(s): Fiber Bundles Visualization, Slice, MRI, dw-MRI, Tractography, Visualization, 2D.

Related Ontology Subjects/Areas/Topics: Biomedical Visualization and Applications ; Computer Vision, Visualization and Computer Graphics ; Gpu-Based Visualization ; Scientific Visualization ; Spatial Data Visualization ; Vector/Tensor Field Visualization

Abstract: The reconstruction of brain fibers from diffusion MRI data is a widely studied field. There is a great variety of algorithms to generate fiber tracts. Despite the many possibilities to create fiber tractograms, it is not very common within the medical community to make use of them. We think there are two reasons why the acceptance of this technique is so low. The first reason is that most time the degree of detail provided by singular fibers is neither justified nor needed. Second, within the medical domain tractography visualization is still uncommon. To solve the first problem it is common to apply clustering algorithms which aggregate the single fibers to fiber bundles. In this paper, we display the fiber bundles within slices. The presentation within slices is common within the medical community and very intuitive to examine. Furthermore, our visualization allows the spatial assignment of fiber bundles to the brain structure provided as T1 images. Among many neuroscientists and ph ysicians, T1 images are the main source for spatial orientation within the brain. (More)

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Paper citation in several formats:
Philips, S.; Hlawitschka, M. and Scheuermann, G. (2018). Slice-based Visualization of Brain Fiber Bundles - A LIC-based Approach.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP, ISBN 978-989-758-289-9, pages 281-288. DOI: 10.5220/0006619402810288

@conference{ivapp18,
author={Stefan Philips. and Mario Hlawitschka. and Gerik Scheuermann.},
title={Slice-based Visualization of Brain Fiber Bundles - A LIC-based Approach},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP,},
year={2018},
pages={281-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006619402810288},
isbn={978-989-758-289-9},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP,
TI - Slice-based Visualization of Brain Fiber Bundles - A LIC-based Approach
SN - 978-989-758-289-9
AU - Philips, S.
AU - Hlawitschka, M.
AU - Scheuermann, G.
PY - 2018
SP - 281
EP - 288
DO - 10.5220/0006619402810288

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