Zaheer Abbas1, Markus Zimmermann1, Dominik Ridder1, Ana-Maria Oros-Peusquens1, and N. Jon Shah1,2,3,4
1Institute of Neuroscience and Medicine 4, Jülich, Germany, 2Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany, 3JARA - BRAIN - Translational Medicine, Aachen, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Aachen, Germany
Synopsis
Keywords: Quantitative Imaging, Brain
Measurement of quantitative, tissue-specific
MR properties such as water content or relaxation times using quantitative-MRI
at clinical field strength (1.5T and 3T) is a well-explored topic. Established
methods for water content mapping are based on the variable flip-angle (VFA)
approach. However, transition to ultrahigh field strength remains challenging
due to significantly increased RF field inhomogeneity. Here, we demonstrate a
novel VFA method to acquire quantitative water content
and relaxation times at 7T with full brain coverage and 1x1x1.5 mm resolution within
7 min. Accuracy and precision of the parametric maps is demonstrated by
comparison to already reported results.
Introduction
MRI offers non-invasive measures of tissue
microstructures and macromolecules and has become increasingly available for
fields such as biology, neuroscience, or diagnostic imaging. Its benefit in
terms of that qualitative and quantitative measure of tissue properties with
high SNR and potentially higher resolution of anatomical detail has already
shown its importance in medical research for studying various pathologies of
the human brain, such as the detection of cerebral oedema.1,2,3,4 A
variety of methods for parametric mapping exists that allows one to quantify
tissue hydration and tissue relaxation times (T1, T2*).
These include multi-echo spoiled gradient echo (MEGE)5, hybrid MEGE
/ TAPIR6, and IR-SE9 based methods.
In this preliminary work, an existing MEGE-based
approach developed for clinical field strength (1.5T and 3T system)5,7,8
is further exploited for mapping of water content and relaxation times (T1,
T2*) at ultrahigh-field strength (i.e. 7T). Instead of MR acquisitions for the detection of the nonuniform
receiver profile of the NMR detection coil array more sophisticated
post-processing approach
was employed to estimate the quantitative parameter while preserving the accuracy. This helps to shorten acquisition time, which
is often demanded by users in the fields of clinical and neuroscientific
imaging, especially for patient comfort and to avoid motion over a longer time.
Established methods at lower field strength to
map are based
on the variable flip angle (VFA) protocol. This technique acquires several. It additionally
yields estimates for T1
and T2* but is slow
and sensitive to inhomogeneity that occurs at ultra-high field
strength.
The proposed acquisition scheme uses multi-echo
gradient-echo (MEGE) sequences with different flip angles and turbo spin echo (TSE) sequences for transmit field inhomogeneity correction. It yields accurate and
robust parametric estimates even at high field strength.Methods
Following prior, written, informed consent,
MR data was acquired from five healthy, male subjects (age range 26-32 years) on a commercial 7T scanner (MAGNETOM Terra, Siemens Healthineers,
Erlangen, Germany) using the 32-element NOVA coil.
The following measurements were performed:
two multiple echo gradient
echo sequence (MEGE) 2D measurements for the VFA method and a TSE
sequence for transmit field inhomogeneity correction.
The GRE MRI scan (TR = 1800 ms, FA = 40°, 9 echoes, TE1 = 5.8
ms, ΔTE = 5.0 ms, acquisition time (TA)= 5 min) allows one to estimate the
MR-visible water content. However, it
requires the following corrections: i) compensation of the transmit (B1Tx)
inhomogeneity: ii) compensation of the T2* decay: iii)
correction of the T1-saturation effect; iv) correction of residual
non-uniformity.7,8 The corrections i) to iii) involve the inclusion of
additional MRI acquisitions to the water content imaging protocol, namely, a
second MEGE scan (TR=600ms, TE=5.8ms, FA=70°, TA = 1.5 min) for estimating longitudinal
relaxation time (T1), a TSE sequence for estimation of B1Tx. The signal at zero echo time is
reconstructed using an appropriate parametric model of the gradient echo decay.
Slice profile correction was performed to resolve the problem of a systematic
error in the steady-state correction.10
Measurement
of the static field B0 and T2* was performed using 2D-GRE acquisition.
Furthermore, the influence of T1 effects on the
estimated water content map is evaluated using a dedicated method including T1
and T2* information prior to calibration to the lateral ventricles.8 The entire MR acquisitions were achieved in 7 min for the 1mm in-plane
resolution.Results
The graphical pipeline shown in Fig.
(1) summarises the important steps described in this section for the estimation of the quantitative water content and relaxation times. Fig. 2 shows quantitative maps (FW, T1, - T2*) from a representative. Fig. 3 shows histogram analyses of the
quantitative maps for all parameters. Fig. 4-6 show FW, T1, and T2* maps from
all volunteers. Furthermore,
region-of-interest (ROI) analysis of white and grey matter ROIs is represented
in Fig. 7, which agrees with the literature. All quantitative images reflect comparable results;
however, the benefit of high field is yet not unveiled and needs further
observations.Discussion and conclusion
Ultrahigh field MRI can deliver higher SNR
and higher contrast-to-noise ratio, however, scanning with higher resolution
may lead to increased field inhomogeneities and requires longer acquisition
times, which in turn increase the discomfort for the subject and the risk of
subject motion. In this study, an
existing MEGE-based approach developed for clinical field strength (1.5T and 3T
system) 5,6,7,8 is further optimized for mapping of water content and relaxation times at ultrahigh
field strength. The proposed is accurate and provides robust multi-parametric
MRI with a resolution of 1x1x1.5 mm3 and full brain coverage within
an acquisition time of 7 minutes.
Further studies are required to deal with
subject motion by implementing motion robust quantification, for example, radial
MRI acquistions11, and could facilitate
efficient acceleration techniques to reduce measurement time.12Acknowledgements
No acknowledgement found.References
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