Ting Zhang1, Congbo Cai2, Lin Chen1, Jianpan Huang1, and Shuhui Cai1
1Department of Electronic Science, Xiamen University, Xiamen, China, People's Republic of, 2Department of Communication Engineering, Xiamen University, Xiamen, China, People's Republic of
Synopsis
As a recently launched method, spatiotemporally
encoded (SPEN) magnetic resonance imaging (MRI) has been broadened from
single-slice scan to multi-slice scan. A new single-shot multi-slice full-refocusing
SPEN MRI sequence was proposed. By utilizing a segment-selective pulse and a
180° chirp pulse and sequentially acquiring the signals of every slice among
the encoded segment, the new method can lower the
specific absorption rate (SAR) and improve the image quality compared to the
existing one. Experimental results of phantom and in vivo rat brain verified
the above conclusion.Purpose
As a recently launched method, spatiotemporally
encoded (SPEN) magnetic resonance imaging (MRI) has high robustness to field
heterogeneity and chemical shift effect. It has been broadened from
single-slice scan to multi-slice scan. In this abstract, segmented spatiotemporal encoding (SeSPEN) pulse
sequence was designed for multi-slice SPEN MRI to lower the specific absorption
rate (SAR) and improve the image quality.
Methods
The multi-slice SeSPEN sequence is shown in Fig. 1. The $$$90_{{\text{ses}}}^{\text{o}}$$$ pulse is
segment-selective, so the quadratic phase is only impacted on the selected
region along the slice-selective dimension. Subsequently a 180° hard pulse is
employed to restore the spins that are not targeted by the $$$90_{{\text{ses}}}^{\text{o}}$$$ pulse back to the
thermodynamically stable state for subsequent segment-selective encoding and
acquisition. To store the encoding information, a selective 90° pulse ($$$90_{{\text{store}}}^{\text{o}}$$$) as the former one ($$$90_{{\text{ses}}}^{\text{o}}$$$) is employed. With the following slice-selective pulse ($$$90_{{\text{ss}}}^{\text{o}}$$$), we can successively acquire the signals of every slice in
the encoded region. The signal of the targeted slice in the selected segment
can be calculated using the following integral:
$$$s(t) \propto \int_{ - {L_y}/2}^{{L_y}/2} {\rho (y) \cdot \frac{{ - \exp [i{\varphi _1}(y)] - \exp [ - i{\varphi _1}(y)]}}{2} \cdot \exp [i(\gamma {G_{cr2}}{T_{cr2}}y + {k_{SPEN}}y + \gamma {G_{acq}}yt)] \cdot \exp ({\tau \mathord{\left/ {\vphantom {\tau {{T_1}}}} \right.} {{T_1}}})dy}$$$
where
ρ(y) stands
for the spatial profile of spin density,
γ is
the gyromagnetic ratio,
τ is the time between the $$$90_{{\text{store}}}^{\text{o}}$$$ pulse
and the $$$90_{{\text{ss}}}^{\text{o}}$$$ pulse of
the targeted slice,
T1 is the longitudinal relaxation time,
Gacq is the amplitude
of acquisition gradient, and
φ1(y) is the quadratic phase
along the SPEN dimension (y-axis) after
the 180° hard pulse, $$${k_{SPEN}} = \gamma \left| {{G_{acq}}{T_{acq}}} \right|/2$$$. A second crusher gradient whose amplitude and duration are
Gcr2 and
Tcr2 respectively
is used to eliminate the echo planar signals arising from the extension of
τ. After deconvolution reconstruction of the acquired
signals,
1 super-resolved multi-slice images can be obtained.
Results
Experiments on phantom and
in vivo rat brain were carried out on a Varian 7T MRI system. The results obtained
by the SeSPEN sequence were compared to those obtained by the spin-echo EPI
sequence, spin-echo SPEN sequence and multi-slice global SPEN
sequence proposed by Frydman and coauthors
(abbr. GlSPEN sequence)
2 to demonstrate the advantages of our
method. Fig. 2 demonstrates the imaging
results of twenty-four anatomical slices of a live rat brain along the axial
plane. The FOV was 4.5×4.5 cm
2 and slice thickness was 1.5 mm. The matrix size was 128×128.
Discussion
As indicated by the
red arrows in Fig. 2, the EPI images suffer from severe geometric distortion
which the SPEN approaches can effectively alleviate. From the region marked by
yellow rectangle, we can see that the GlSPEN image was poor. This is because the phase
imparted by field inhomogeneity was not eliminated. Whereas the SeSPEN
MRI could efficiently avoid this problem. Beyond that, compared to the GlSPEN
sequence, the SeSPEN MRI can effectively remit the signal loss caused by
T1 relaxation, as indicated by the green ellipse. For the GlSPEN sequence,
the signal was attenuated greatly with the increase of slice number. At the meantime,
compared to the spin-echo SPEN MRI, the SAR of SeSPEN MRI declined significantly,
because only three chirp pulses were used for multi-slices.
Conclusion
The SeSPEN MRI is not only robust to field
heterogeneity and chemical shift effect, but also efficient for multi-slice MRI
with high image quality after super-resolved reconstruction.
Acknowledgements
This work was supported by the NNSF of China under
Grants 11275161,
81171331 and U1232212.References
1. Cai
CB, Dong JY, Cai SH, et al. An efficient de-convolution reconstruction method
for spatiotemporal-encoding single-scan 2D MRI. J. Magn. Reson. 2012;228:136-147.
2.
Schmidt R, Frydman L. New spatiotemporal
approaches for fully refocused, multislice ultrafast 2D MRI. Magn. Reson. Med.
2014;71:711-722.