Patrick Liebig1,2,3, Robin Martin Heidemann2, Bernhard Hensel1, and David Andrew Porter3
1University of Erlangen-Nuremberg, Erlangen, Germany, 2Siemens Healthcare GmbH, Erlangen, Germany, 3University of Glasgow, Glasgow, United Kingdom
Synopsis
Readout-segmented
echo-planar imaging (EPI) with 2D navigator correction, also known as RESOLVE, is
an established method for performing high-resolution diffusion weighted imaging
in clinical studies. However, the method requires long acquisition times
compared to single-shot EPI. A reduction in acquisition time could be achieved
with Compressed Sensing (CS), but sub-sampling of EPI-based sequences is
problematic because of the phase evolution during the echo train. This work
introduces a new CS sampling scheme for readout-segmented EPI that varies the
readout-segment width as a function of sampling density and preserves the phase
relationship between data points.
Introduction
The
REadout Segmentation Of Long Variable Echo trains (RESOLVE) technique for
diffusion-weighted imaging uses readout-segmented EPI with 2D navigator
correction to reduce echo spacing in the echo train
1,2. This leads to reduced spatial distortion and
blurring compared to single-shot EPI and allows an increased spatial
resolution. However, this multi-shot approach results in an increased acquisition
time compared to single-shot EPI. This can be reduced by using simultaneous
multi-slice imaging
3,4 or readout partial Fourier
5. Still acquisition times can be prohibitively
long, particularly for diffusion tractography studies. Compressed Sensing
6 (CS) has been used for decreasing the
acquisition time in a number of MRI sequences, especially in 3D imaging. This
technique could also be used to reduce scan times with RESOLVE, but random
sub-sampling during the EPI echo train would result in a disrupted phase
evolution and image artefacts. To overcome this limitation, this study
introduces a new sampling scheme that can be used to sub-sample 2D RESOLVE data
sets without introducing phase discontinuities, called variable-segment (VASE)
RESOLVE.
Methods
The
principle idea of VASE-RESOLVE is to increase the width of the outer readout
segments and to simultaneously increase the acceleration factor in these
segments. The wider readout segment corresponds to an increased kx coverage, which is
achieved by increasing the length of the readout gradient and consequently the
EPI echo spacing. To offset the effects
that the longer echo spacing has on phase evolution and signal decay due to T2*,
the acceleration factor is adapted to maintain a constant effective echo
spacing (true echo spacing divided by the acceleration factor). The increased kx coverage provided by the
outer segments means that, for a given spatial resolution, fewer readout
segments are required for image acquisition and the overall scan time is
reduced. Fig. 1 shows two VASE-RESOLVE sampling schemes: one in which the
segment widths are chosen to keep sample points on a Cartesian grid and a more
generalised version, in which this condition is relaxed. A prototype sequence
based on the Siemens RESOLVE product sequence was employed for the acquisition
of pattern 1. Pattern 2 was retrospectively undersampled from a previously
reconstructed and navigator corrected standard 3-fold accelerated acquisition
with 15 segments.
Images were
acquired from healthy subjects on a 7-Tesla MAGNETOM Terra system (Siemens
Healthcare GmbH, Erlangen, Germany) equipped with a 1Tx32Rx head coil (Nova
Medical, Wilmington, MA, USA). Results
Figure 2 compares
the respective g-factor maps and point spread functions (PSF) for a standard 3-fold
and 4-fold accelerated acquisition and for the proposed sampling patterns 1 and
2 (from Fig. 1). The PSF for pattern 2 shows significantly reduced sidelobes,
which makes it more suitable for a CS reconstruction. Also, pattern 1 shows
reduced sidelobes, although not to the same extent as for pattern 2 due to the
fact that undersampling is limited to a Cartesian grid. In Fig. 3 the
respective reconstructed images are shown for VASE-RESOLVE and standard
accelerated RESOLVE with readout partial Fourier. The RMSE is significantly
reduced when using VASE-RESOLVE compared to a 4-fold accelerated acquisition (from
6.6 % to 1.5 %) and to readout partial Fourier (from 7% to 2.4 %).Discussion
VASE-RESOLVE
allows a substantial reduction in scan time compared to the standard RESOLVE
sequence. In the case of the pattern 2 sampling scheme, an acceleration of more
than a factor of 2 can be achieved. When combined with readout partial Fourier
and SMS, a whole-brain, trace-weighted protocol with 0.7 mm in-plane resolution
can be acquired in less than 2 minutes. For pattern 2, the acquisition was
performed retrospectively based on a fully reconstructed data set acquired
using a standard 3-fold accelerated acquisition. This approach is acceptable,
because the phase evolution is not changing between segments in Pattern 1. As
the effective echo-spacing is kept the same, this is also true for the
Non-Cartesian case in Pattern 2. Multi-shot
diffusion-weighted imaging sequences, such as RESOLVE, are important techniques
at 7 tesla, where field inhomogeneity and short T2* values limit the
use of single-shot EPI. However, the VASE-RESOLVE technique will also be of
value for acquisitions at 1.5 T and 3 T, where the standard RESOLVE method is
well established in clinical application.Conclusion
The
proposed sampling scheme with a variable-width readout segment allows readout-segmented
EPI to be combined with CS without introducing image artefacts due to signal
discontinuities in
k-space. The
technique can be combined with existing methods of acceleration, such as SMS
and readout partial Fourier. The resulting VASE-RESOLVE method allows for fast,
high-resolution diffusion-weighted imaging to be performed with a low level of
distortion and image blurring.
Acknowledgements
We would like to thank Tracy Hopkins and Rosie Woodward for helping us conduct the volunteer measurements.References
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