Carl Herrmann1, Eckart Grönerwäller1, Antje Els1, Joseph Kuchling2,3,4, Friedemann Paul2,3,4, and Thoralf Niendorf1,2
1Berlin Ultrahigh Field Facility (B.U.F.F.) Max Delbrück Center For Molecular Medicine in the Helmoltz Association, Berlin, Germany, 2Experimental und Clinical Research Center (ECRC), Charité-Campus Berlin-Buch, Berlin, Germany, 3NeuroCure Clinical Research Center, Charité – Universitätsmedizin, Berlin, Germany, 4Department of Neurology, Charité – Universitätsmedizin, Berlin, Germany
Synopsis
MRI
examinations commonly involve a series of multiple imaging contrasts and MR-metrics,
resulting in long examination times and propensity to motion and slice
misregistration. Dual or multi-contrast techniques offer substantial scan time
reduction. Recognizing this opportunity this work presents a dual contrast
RARE-EPI hybrid, that provides T2 (RARE module) and T2*
(EPI module) contrast and facilitates simultaneous T2 and T2*
mapping in a single radially (under)sampled scan (2-in-1 RARE-EPI). The
applicability of 2-in-1 RARE-EPI is demonstrated in an in vivo feasibility study involving patients suffering from multiple
sclerosis and healthy controls and benchmarked versus conventional T2
and T2* weighted/mapping techniques.
Introduction
MRI protocols tailored for the diagnosis and
longitudinal monitoring of multiple sclerosis (MS) comprise several imaging contrasts
including T1, DWI, T2, and T2* [1, 2]. T2-weighted imaging
(T2-WI) is frequently used in clinical practice for identification of MS
lesions, which are characterized by hyperintense appearance [2]. T2*-weighted imaging
revealed a central vein sign, which is specific for MS lesions [1,3]. Furthermore T2* is sensitive to iron deposition, which may relate to disease duration
and activity [1,4]. Recognizing these features of MS lesions it is conceptually appealing
to pursue MRI mapping techniques that are sensitive to multiple contrast
mechanisms and support simultaneous generation of quantitative maps of multiple
contrasts [5] with the goal to enhance imaging
speed, to reduce slice misregistration, to lower the propensity to bulk motion
and to boost clinical utility. To facilitate simultaneous T2 and T2*
mapping we proposed a radially (under)sampled RARE-EPI hybrid (2-in-1 RARE-EPI)
[6].
Here, we carefully examine the applicability of
2-in-1 RARE-EPI in an in vivo study involving
healthy controls and patients with MS. For validation of T2 and T2*
mapping, 2-in-1 RARE-EPI is benchmarked versus conventional T2 and T2*
mapping techniques.Methods
2-in-1 RARE-EPI is based on a RARE-EPI hybrid [7]. The first echoes in the echo train
are acquired with a RARE module, later echoes are acquired with an EPI module
(Figure 1, left), with the combined-acquisition-technique (CAT) factor λ governing
the fraction of RARE echoes in the echo train. Here we used an echo train length
of 16 with 8 RARE and EPI echoes (λ=0.5), acquired in an interleaved manner
with respect to the angular position in radially sampled k-space (Figure 1b). To
reduce motion propensity of individual TE images (used for mapping) the spokes
of each TE are acquired to cover the whole π radians of
k-space over a cycle of four TRs. Gradient delay artifacts were corrected using
the method proposed by Block et al. [8]. For image reconstruction regridding
with linear density compensation [9] and a magnitude sum-of-squares
channel combination were employed.
Reference T2 and T2*
maps were acquired with conventional multi-spin-echo (MSE) and multi-gradient-echo
(MGRE) techniques. T2 and T2* maps were calculated with a
linear least-square-fit of the logarithmic signal magnitude. For T2*
mapping a spatial-adaptive-non-local-means filter was applied to the images
prior to the fitting to improve the fit quality [10].
Images were acquired at 3.0 T
(Siemens Magnetom SkyraFit, Erlangen, Germany) using a 32-channel head coil
(Siemens, Erlangen, Germany) for signal reception and the body coil for
transmission.
For the in vivo study
we scanned MS patients (sex: male, mean age: 42 years) and healthy controls
(sex: male, mean age: 42 years). MS specific lesions were selected to be imaged
with the 2-in-1 RARE-EPI, based on a whole brain coverage scan with a
pd-weighted RARE sequence.
Imaging parameters: FoV = 256 mm, base
resolution = 256, TR = 500 ms,
TA(2-in-1 RARE-EPI/MSE/MGRE) = 1:58/2:12/2:10 min, ESP(RARE-module/MSE) = 9.94 ms,
ESP(EPI-module/MGRE) = 2.27 ms, ETL(2-in-1 RARE-EPI/MSE/MGRE) = 16/12/12, No. of Spokes(2-in-1 RARE-EPI) = 3200 (twofold undersampling for individual TE
images).Results
To
demonstrate the feasibility of 2-in-1-RARE-EPI in vivo, three brain slices covering the corpus callosum (bottom edge,
upper edge and center) were acquired. Figure 2 shows a series of 16 individual TE
images covering the center of the corpus callosum of a healthy subject. Each individual-TE
image was reconstructed from echoes acquired at the same TE. T2 and T2* maps
obtained with 2-in-1 RARE-EPI are depicted in Figure 3 along with the reference
maps obtained with MSE and MGRE for all three slices covering the corpus
callosum. The T2 and T2* maps obtained with the
2-in-1-RARE-EPI are in accordance with the reference maps.
Figure 4 shows
proton density weighted images of two MS lesions selected to be imaged with
2-in-1 RARE-EPI. The T2 and T2* maps highlighting the two
exemplary MS lesions are depicted in Figure 5 along with the T2 and T2*
reference maps. Both lesions can be detected and delineated in the T2 and T2* maps obtained from the 2-in-1 RARE-EPI which is confirmed by the
reference maps derived from MSE/MGRE.Discussion and Conclusion
This
work demonstrates the feasibility of radially sampled 2-in-1 RARE-EPI for dual
contrast weighted (T2/T2*) imaging and for simultaneous T2
and T2* mapping for the detection of MS lesions. MS lesions detected
in the T2 and T2* maps obtained with 2-in-1-RARE-EPI were
confirmed by the reference T2 and T2* maps deduced from MSE/MGRE.
Our undersampled 2-in-1 RARE-EPI hybrid approach substantially decreases
acquisition time for T2 and T2*mapping by a factor of two
versus conventional mapping methods and hence permits whole brain coverage in a
reasonable scan time.
Simultaneous T2 and T2* mapping
with 2-in-1 RARE-EPI promises to support the differential diagnosis of MS and
other (orphan) neurodegenerative diseases. However, our 2-in-1 RARE-EPI hybrid
is not limited to MS lesions or brain imaging, as shown in this work.
2-in-1 RARE-EPI offers the capacity for simultaneous T2 and T2*
mapping in applications dealing with bulk or physiological motion such as
cardiac imaging including T2 imaging/mapping of myocardial edema and
myocardial T2* mapping in HCM patients [11], as well as MRI of the eye, abdomen and liver.Acknowledgements
No acknowledgement found.References
1. Hemond
C et al., Magnetic resonance
imaging in multiple sclerosis. Cold Spring Harbor perspectives in medicine,
2018. 8(5): p. a028969.
2. Zivadinov
R. et al., Role of MRI in multiple
sclerosis I: inflammation and lesions. Front Biosci, 2004. 9(665): p. C28.
3. Tallantyre
E.C., et al., A comparison of 3T and 7T
in the detection of small parenchymal veins within MS lesions.
Investigative Radiology, 2009. 44(9): p. 491-494.
4. Bozin
I., et al., Magnetic resonance phase
alterations in multiple sclerosis patients with short and long disease
duration. Public Library of Science one, 2015. 10(7): p. e0128386.
5. Fuchs
K., et al., Simultaneous dual contrast
weighting using double echo rapid acquisition with relaxation enhancement
(RARE) imaging. Magnetic Resonance in Medicine, 2014. 72(6): p. 1590-1598.
6. Herrmann
C., et al. Dual Contrast Weighting and
Simultaneous T2 and T2* Mapping with Radially Sampled RARE-EPI. in Proc Int Soc Magn Reson Med Sci Meet Exhib
27. 2019.
7. Paul
K., et al., Multiband diffusion‐weighted
MRI of the eye and orbit free of geometric distortions using a RARE‐EPI hybrid.
NMR in Biomedicine, 2018. 31(3): p. e3872.
8. Block
K.T. and M. Uecker. Simple Method for
Adaptive Gradient-Delay Compensation in Radial MRI. in Proc Int Soc Magn Reson Med Sci Meet Exhib 19. 2011.
9. Fessler,
J., B. Sutton, and Y. Zhang. Michigan
Image Reconstruction Toolbox. Available from:
https://web.eecs.umich.edu/~fessler/code/
10. Manjón,
J.V., et al., Adaptive non‐local means
denoising of MR images with spatially varying noise levels. Journal of
Magnetic Resonance Imaging, 2010. 31(1): p. 192-203.
11. Huelnhagen T., et al., Myocardial T2* mapping with ultrahigh field
magnetic resonance: Physics and frontier applications. Frontiers in
Physics, 2017. 5: p. 22.