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@INPROCEEDINGS{Nolden:861890,
author = {Nolden, Marius and Schubert, Nicole and Schmitz, Daniel and
Müller, Andreas and Axer, Markus},
title = {{T}racing of {N}erve {F}ibers {T}hrough {B}rain {R}egions
of {F}iber {C}rossings in {R}econstructed 3{D}-{PLI}
{V}olumes},
address = {Berlin, Heidelberg},
publisher = {Springer},
reportid = {FZJ-2019-02311},
pages = {62-67},
year = {2019},
comment = {Bildverarbeitung für die Medizin 2019},
booktitle = {Bildverarbeitung für die Medizin
2019},
abstract = {Three-dimensional (3D) polarized light imaging (PLI) is
able to reveal nerve fibers in the human brain at
microscopic resolution. While most nerve fiber structures
can be accurately visualized with 3D-PLI, the currently used
physical model (based on Jones Calculus) is not well suited
to distinguish steep fibers from specific fiber crossings.
Hence, streamline tractography algorithms tracing fiber
pathways get easily misdirected in such brain regions. For
the presented study, we implemented and applied two methods
to bridge areas of fiber crossings: (i) extrapolation of
fiber points with cubic splines and (ii) following the most
frequently occurring orientations in a defined neighborhood
based on orientation distribution functions gained from
3D-PLI measurements (pliODFs). Applied to fiber crossings
within a human hemisphere, reconstructed from 3D-PLI
measurements at 64 microns in-pane resolution, both methods
were demonstrated to sustain their initial tract direction
throughout the crossing region. In comparison, the
ODF-method offered a more reliable bridging of the crossings
with less gaps.},
month = {Mar},
date = {2019-03-17},
organization = {Bildverarbeitung für die Medizin,
Lübeck (Germany), 17 Mar 2019 - 19 Mar
2019},
cin = {INM-1 / JSC},
cid = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)JSC-20090406},
pnm = {574 - Theory, modelling and simulation (POF3-574) / HBP
SGA2 - Human Brain Project Specific Grant Agreement 2
(785907) / SLNS - SimLab Neuroscience (Helmholtz-SLNS) / 511
- Computational Science and Mathematical Methods (POF3-511)},
pid = {G:(DE-HGF)POF3-574 / G:(EU-Grant)785907 /
G:(DE-Juel1)Helmholtz-SLNS / G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
doi = {10.1007/978-3-658-25326-4_17},
url = {https://juser.fz-juelich.de/record/861890},
}