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@ARTICLE{Yun:838008,
author = {Yun, Seong Dae and Shah, N. J.},
title = {{W}hole-brain high in-plane resolution f{MRI} using
accelerated {EPIK} for enhanced characterisation of
functional areas at 3{T}},
journal = {PLoS one},
volume = {12},
number = {9},
issn = {1932-6203},
address = {Lawrence, Kan.},
publisher = {PLoS},
reportid = {FZJ-2017-06756},
pages = {e0184759 -},
year = {2017},
abstract = {The relatively high imaging speed of EPI has led to its
widespread use in dynamic MRI studies such as functional
MRI. An approach to improve the performance of EPI, EPI with
Keyhole (EPIK), has been previously presented and its use in
fMRI was verified at 1.5T as well as 3T. The method has been
proven to achieve a higher temporal resolution and smaller
image distortions when compared to single-shot EPI.
Furthermore, the performance of EPIK in the detection of
functional signals was shown to be comparable to that of
EPI. For these reasons, we were motivated to employ EPIK
here for high-resolution imaging. The method was optimised
to offer the highest possible in-plane resolution and slice
coverage under the given imaging constraints: fixed TR/TE,
FOV and acceleration factors for parallel imaging and
partial Fourier techniques. The performance of EPIK was
evaluated in direct comparison to the optimised protocol
obtained from EPI. The two imaging methods were applied to
visual fMRI experiments involving sixteen subjects. The
results showed that enhanced spatial resolution with a
whole-brain coverage was achieved by EPIK (1.00 mm × 1.00
mm; 32 slices) when compared to EPI (1.25 mm × 1.25 mm; 28
slices). As a consequence, enhanced characterisation of
functional areas has been demonstrated in EPIK particularly
for relatively small brain regions such as the lateral
geniculate nucleus (LGN) and superior colliculus (SC);
overall, a significantly increased t-value and activation
area were observed from EPIK data. Lastly, the use of EPIK
for fMRI was validated with the simulation of different
types of data reconstruction methods.},
cin = {INM-4 / INM-11 / JARA-BRAIN},
ddc = {500},
cid = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
$I:(DE-82)080010_20140620$},
pnm = {573 - Neuroimaging (POF3-573)},
pid = {G:(DE-HGF)POF3-573},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:28945780},
UT = {WOS:000411645100009},
doi = {10.1371/journal.pone.0184759},
url = {https://juser.fz-juelich.de/record/838008},
}