Seong Dae Yun1 and N. Jon Shah1,2
1Institute of Neuroscience and Medicine, Medical Imaging Physics (INM-4), Forschungszentrum Juelich, Juelich, Germany, 2Faculty of Medicine, Department of Neurology, JARA, RWTH Aachen University, Aachen, Germany
Synopsis
Since the advent of EPI, numerous
approaches have been suggested to enhance its resolution for high-resolution
fMRI. Recently, several methods were demonstrated for fMRI with a
sub-millimetre resolution. However, none of them can achieve such resolution
with a full-FOV and, at the same time, with whole-brain coverage. This work
aims to develop a novel imaging method based on EPIK in combination with
readout-segmentation to achieve half-millimetre resolution with a full FOV. Here,
under a typical fMRI constraint (TR of 3 s), the method was shown to provide 93
slices when further combined with the multi-band technique.
Purpose
Since the advent of EPI, numerous
approaches have been suggested to enhance its resolution for high-resolution fMRI.
Recently, several methods (e.g. PROPELLER-EPI1 or zoomed GRAPPA2)
were demonstrated for fMRI with a sub-millimetre resolution. However, none of
them can achieve such resolution with a full-FOV and, at the same time, with
whole-brain coverage. For this purpose, this work proposes an imaging method
using EPI with keyhole (EPIK)3,4 in combination with readout-segmentation5.
EPIK has been previously demonstrated for high-resolution fMRI (1.0 mm2)6
and hence, we were motivated to utilize it as a base method here. The
present work i) demonstrates the combination of EPIK with readout-segmentation
and ii) verifies the capability of the method to yield half millimetre
resolution with a full-FOV and whole-brain coverage.Methods
Figure 1a shows the schematic
representation of the k-space trajectory for three-shot EPIK. Each measurement
scans the central k-space region (keyhole) completely, whilst the peripheral k-space
regions (sparse) are sparsely sampled with Δky' = 3/FOV. By sharing the sparse
region data from three consecutive scans, the entire periphery of k-space can
be completely constructed; crucially, a sliding window technique was used to
ensure that the keyhole and the periphery of k-space are continually updated. Furthermore,
this example features one-fourth of k-space as the keyhole region. Thus, the
total number of phase encoding lines to be sampled reduces to 1/2 of that for
comparable EPI. This scheme suggests efficient sampling along the phase
encoding direction, however, the current keyhole region still contains peripheral
information along the readout direction. Hence, for more efficient sampling on
the central k-space, this work proposes to apply readout-segmentation to the
keyhole region. As illustrated in Fig. 1b, readout-segmentation is combined such
that the peripheral parts (marked by dotted-squares) are sampled once every two
scans whilst the central k-space is still sampled at every scan; the horizontal
size of the central keyhole part was set as one-fourth of the complete line. Similar
to the EPIK reconstruction, the peripheral parts can be completed by sharing
the data from two consecutive scans in a sliding window fashion. For method
validation in comparison to original EPIK, the above configuration was employed
in an in vivo measurement with the following
imaging parameters: FOV = 240 × 240 mm2, matrix size = 160 × 160 (1.5 ×
1.5 mm2), FA = 90°, TR/TE = 2000/60 ms, slice thickness = 3 mm and
12 slices. After validation, readout-segmented EPIK was exploited for half-millimetre
resolution imaging with the following imaging condition: FOV = 210 × 210 mm2, matrix size = 416 × 416 (0.5 ×
0.5 mm2), FA = 90°, TR/TE = 2000/35 ms, slice thickness = 3 mm, keyhole
lines = 56, 4-fold acceleration and partial Fourier imaging (5/8). All experiments
were performed on a Trio 3T MRI scanner (Siemens, Germany) with a 32-channel
phased array coil.Results
Figure 2 shows reconstructed
EPIK (1.5 × 1.5 mm2) and readout-segmented EPIK (1.5 × 1.5 mm2) scans. Visual
inspection of the figure suggests that they were well reconstructed without any
severe artefacts. However, due to the faster readout in readout-segmented EPIK,
its reconstructed images exhibit reduced geometric distortions than the EPIK images;
additionally, reduced ghost artefacts were also observed for all slices. Figure
3 shows 4 representative slices from a high-resolution readout-segmented EPIK (0.5
× 0.5 mm2) dataset. The figure demonstrates that all slices were
well reconstructed without any significant degradation arising from ghosts or
image blurring. Although the image SNR is relatively low due to the half
millimetre resolution and the relatively low field strength of 3T, a detailed
spatial representation of the anatomical structures such as gyri or sulci is
observed in all slices.Discussion and Conclusions
The combination of readout
segmentation with EPIK was demonstrated at 3T and its performance was evaluated
in comparison with original EPIK. Its use was exploited for half-millimetre
resolution imaging and the images were successfully reconstructed. Here, the
minimum TR for a single slice was 96.72 ms, implying that the method can
achieve 31 slices when TR is given as 3 s (a typical TR employed for fMRI). Furthermore,
if the multi-band acceleration (e.g. R
= 3) is additionally integrated,7 brain coverage with 93 slices is
also possible. Here, high-resolution imaging was demonstrated with a TE of 35
ms. However, the TE can be further decreased by a further optimization of the
size of keyhole and skipping part of k-space by employing the partial Fourier
technique. This suggests the use of method for columnar resolution fMRI at
ultra high fields.Acknowledgements
No acknowledgement found.References
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