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@ARTICLE{Alimi:877886,
author = {Alimi, Abib and Deslauriers-Gauthier, Samuel and Matuschke,
Felix and Müller, Andreas and Muenzing, Sascha E. A. and
Axer, Markus and Deriche, Rachid},
title = {{A}nalytical and fast {F}iber {O}rientation {D}istribution
reconstruction in 3{D}-{P}olarized {L}ight {I}maging},
journal = {Medical image analysis},
volume = {65},
issn = {1361-8415},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2020-02491},
pages = {101760},
year = {2020},
abstract = {Three dimensional Polarized Light Imaging (3D-PLI) is an
optical technique which allows mapping the spatial fiber
architecture of fibrous postmortem tissues, at
sub-millimeter resolutions. Here, we propose an analytical
and fast approach to compute the fiber orientation
distribution (FOD) from high-resolution vector data provided
by 3D-PLI. The FOD is modeled as a sum of K
orientations/Diracs on the unit sphere, described on a
spherical harmonics basis and analytically computed using
the spherical Fourier transform. Experiments are performed
on rich synthetic data which simulate the geometry of the
neuronal fibers and on human brain data. Results indicate
the analytical FOD is computationally efficient and very
fast, and has high angular precision and angular resolution.
Furthermore, investigations on the right occipital lobe
illustrate that our strategy of FOD computation enables the
bridging of spatial scales from microscopic 3D-PLI
information to macro- or mesoscopic dimensions of diffusion
Magnetic Resonance Imaging (MRI), while being a means to
evaluate prospective resolution limits for diffusion MRI to
reconstruct region-specific white matter tracts. These
results demonstrate the interest and great potential of our
analytical approach.},
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) / 573 -
Neuroimaging (POF3-573) / 571 - Connectivity and Activity
(POF3-571) / HBP SGA2 - Human Brain Project Specific Grant
Agreement 2 (785907) / CoBCoM - Computational Brain
Connectivity Mapping (694665) / SLNS - SimLab Neuroscience
(Helmholtz-SLNS) / 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)POF3-573 /
G:(DE-HGF)POF3-571 / G:(EU-Grant)785907 / G:(EU-Grant)694665
/ G:(DE-Juel1)Helmholtz-SLNS /
$G:(DE-Juel1)jinm11_20181101$},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32629230},
UT = {WOS:000567866400002},
doi = {10.1016/j.media.2020.101760},
url = {https://juser.fz-juelich.de/record/877886},
}