% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Menzel:205172,
author = {Menzel, Miriam and Michielsen, Kristel and De Raedt, H. and
Reckfort, Julia and Amunts, Katrin and Axer, Markus},
title = {{A} {J}ones matrix formalism for simulating
three-dimensional polarized light imaging of brain tissue},
journal = {Interface},
volume = {12},
number = {111},
issn = {1742-5662},
address = {London},
publisher = {The Royal Society},
reportid = {FZJ-2015-05614},
pages = {20150734},
year = {2015},
abstract = {The neuroimaging technique three-dimensional polarized
light imaging (3D-PLI) provides a high-resolution
reconstruction of nerve fibres in human post-mortem brains.
The orientations of the fibres are derived from
birefringence measurements of histological brain sections
assuming that the nerve fibres—consisting of an axon and a
surrounding myelin sheath—are uniaxial birefringent and
that the measured optic axis is oriented in the direction of
the nerve fibres (macroscopic model). Although experimental
studies support this assumption, the molecular structure of
the myelin sheath suggests that the birefringence of a nerve
fibre can be described more precisely by multiple optic axes
oriented radially around the fibre axis (microscopic model).
In this paper, we compare the use of the macroscopic and the
microscopic model for simulating 3D-PLI by means of the
Jones matrix formalism. The simulations show that the
macroscopic model ensures a reliable estimation of the fibre
orientations as long as the polarimeter does not resolve
structures smaller than the diameter of single fibres. In
the case of fibre bundles, polarimeters with even higher
resolutions can be used without losing reliability. When
taking the myelin density into account, the derived fibre
orientations are considerably improved.},
cin = {INM-1 / JSC},
ddc = {500},
cid = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)JSC-20090406},
pnm = {574 - Theory, modelling and simulation (POF3-574) / 511 -
Computational Science and Mathematical Methods (POF3-511) /
SMHB - Supercomputing and Modelling for the Human Brain
(HGF-SMHB-2013-2017) / HBP - The Human Brain Project
(604102)},
pid = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-511 /
G:(DE-Juel1)HGF-SMHB-2013-2017 / G:(EU-Grant)604102},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000363487600027},
pubmed = {pmid:26446561},
doi = {10.1098/rsif.2015.0734},
url = {https://juser.fz-juelich.de/record/205172},
}