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@ARTICLE{Reuter:864579,
author = {Reuter, Jan André and Matuschke, Felix and Menzel, Miriam
and Schubert, Nicole and Ginsburger, Kévin and Poupon,
Cyril and Amunts, Katrin and Axer, Markus},
title = {{FAC}onstructor: an interactive tool for geometric modeling
of nerve fiber architectures in the brain},
journal = {International journal of computer assisted radiology and
surgery},
volume = {14},
number = {11},
issn = {1861-6429},
address = {Heidelberg [u.a.]},
publisher = {Springer},
reportid = {FZJ-2019-04297},
pages = {1881-1889},
year = {2019},
abstract = {PURPOSE: The technique 3D polarized light imaging (3D-PLI)
allows to reconstruct nerve fiber orientations of postmortem
brains with ultra-high resolution. To better understand the
physical principles behind 3D-PLI and improve the accuracy
and reliability of the reconstructed fiber orientations,
numerical simulations are employed which use synthetic nerve
fiber models as input. As the generation of fiber models can
be challenging and very time-consuming, we have developed
the open source FAConstructor tool which enables a fast and
efficient generation of synthetic fiber models for 3D-PLI
simulations. METHODS: The program was developed as an
interactive tool, allowing the user to define fiber pathways
with interpolation methods or parametric functions and
providing visual feedback.RESULTS: Performance tests showed
that most processes scale almost linearly with the amount of
fiber points in FAConstructor. Fiber models consisting of <
1.6 million data points retain a frame rate of more than 30
frames per second, which guarantees a stable and fluent
workflow. The applicability of FAConstructor was
demonstrated on a well-defined fiber model (Fiber Cup
phantom) for two different simulation approaches,
reproducing effects known from 3D-PLI
measurements.CONCLUSION: We have implemented a user-friendly
and efficient tool that enables an interactive and fast
generation of synthetic nerve fiber configurations for
3D-PLI simulations. Already existing fiber models can easily
be modified, allowing to simulate many different fiber
models in a reasonable amount of time.},
cin = {INM-1 / JARA-HPC},
ddc = {610},
cid = {I:(DE-Juel1)INM-1-20090406 / $I:(DE-82)080012_20140620$},
pnm = {574 - Theory, modelling and simulation (POF3-574) / 571 -
Connectivity and Activity (POF3-571) / HBP SGA2 - Human
Brain Project Specific Grant Agreement 2 (785907) /
Simulations for a better Understanding of the Impact of
Different Brain Tissue Components on 3D Polarized Light
Imaging $(jjsc43_20181101)$ / 3D Reconstruction of Nerve
Fibers in the Human, the Monkey, the Rodent, and the Pigeon
Brain $(jinm11_20181101)$},
pid = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-571 /
G:(EU-Grant)785907 / $G:(DE-Juel1)jjsc43_20181101$ /
$G:(DE-Juel1)jinm11_20181101$},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31401715},
UT = {WOS:000496030000007},
doi = {10.1007/s11548-019-02053-6},
url = {https://juser.fz-juelich.de/record/864579},
}