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@ARTICLE{Claeser:863051,
author = {Claeser, Robert and Zimmermann, Markus and Shah, N. J.},
title = {{S}ub‐millimeter {T} 1 mapping of rapidly relaxing
compartments with gradient delay corrected spiral {TAPIR}
and compressed sensing at 3{T}},
journal = {Magnetic resonance in medicine},
volume = {82},
number = {4},
issn = {1522-2594},
address = {New York, NY [u.a.]},
publisher = {Wiley-Liss},
reportid = {FZJ-2019-03173},
pages = {1288-1300},
year = {2019},
abstract = {PurposeThe TAPIR sequence is an accurate and efficient
method for T1 mapping. It combines a slice‐interleaving
Look‐Locker read‐out with an acquisition of multiple
k‐space lines in 1 shot. Whereas the acquisition of
multiple lines per excitation increases imaging speed, the
corresponding increase in TR and TE is detrimental to the T1
fitting performance. This is especially problematic for
substances exhibiting rapid T2* relaxation (e.g., myelin
water).MethodsThe T1 fitting performance of TAPIR is
enhanced by using an interleaved spiral read‐out with
shorter TE and TR. Furthermore, an improvement to a method
for fast gradient delay estimation is presented. Whereas
previous methods assume the gradient delay to be stationary,
the presented approach corrects the spiral k‐space
trajectory by using a polynomial fit of the measured
gradient delays.ResultsGradient delay artifacts are largely
eliminated, requiring very little additional scanning time.
The sampling efficiency of the spiral read‐out allows for
a significant reduction of the acquisition time in
comparison to Cartesian TAPIR. Spiral TAPIR enables the
sampling of more slices and an accurate measurement of
rapidly relaxing compartments. Over a wide T1 range
(448–3115 ms), spiral TAPIR reduces the mean fitting error
from $−2.5\%$ to $−0.1\%.$ Combining $50\%$
undersampling with the shorter TR of spiral TAPIR, an
increase in imaging speed by a factor of up to 3.3 was
achieved.ConclusionUsing a spiral read‐out trajectory, the
established TAPIR sequence enables measurement of rapidly
relaxing T1 compartments, while improving T1 mapping
performance and imaging speed.},
cin = {INM-4 / INM-11 / JARA-BRAIN},
ddc = {610},
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:31148282},
UT = {WOS:000483917000005},
doi = {10.1002/mrm.27797},
url = {https://juser.fz-juelich.de/record/863051},
}