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@INPROCEEDINGS{Sharib:862023,
author = {Sharib, Ali and Rohr and Axer, Markus and Grässel, David
and Schlömer, Philipp and Amunts, Katrin and Eils and
Wörz},
title = {{ELASTIC} {REGISTRATION} {OF} {HIGH}-{RESOLUTION} 3{D}
{PLI} {DATA} {OF} {THE} {HUMAN} {BRAIN}},
reportid = {FZJ-2019-02397},
pages = {1-5},
year = {2017},
abstract = {We introduce a new approach for the elastic registration
ofhigh-resolution 3D polarized light imaging (3D PLI) data
ofhistological sections of the human brain. For accurate
regis-tration of different types of 3D PLI modalities, we
proposea novel intensity similarity measure that is based on
a least-squares formulation of normalized cross-correlation.
More-over, we present a fully automatic registration
pipeline forrigid and elastic registration of
high-resolution 3D PLI imageswith a blockface reference
including a preprocessing step. Wehave successfully
evaluated our approach using manually ob-tained ground truth
for five sections of a human brain and ex-perimentally
compared it with previous approaches. We alsopresent
experimental results for 60 brain sections.},
month = {Apr},
date = {2017-04-18},
organization = {IEEE International Symposium on
Biomedical Imaging, Barcelona (Spain),
18 Apr 2017 - 21 Apr 2017},
cin = {INM-1},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {571 - Connectivity and Activity (POF3-571) / HBP SGA1 -
Human Brain Project Specific Grant Agreement 1 (720270) /
SMHB - Supercomputing and Modelling for the Human Brain
(HGF-SMHB-2013-2017)},
pid = {G:(DE-HGF)POF3-571 / G:(EU-Grant)720270 /
G:(DE-Juel1)HGF-SMHB-2013-2017},
typ = {PUB:(DE-HGF)8},
url = {https://juser.fz-juelich.de/record/862023},
}