Bertram Jakob Wilm1, Manuela Roesler1, Franciszek Hennel1, Markus Weiger1, and Klaas Paul Pruessmann1
1ETH and University of Zürich, Zürich, Switzerland
Synopsis
To achieve high-resolution
diffusion imaging with short echo times, single-shot spiral DWI using a
recently developed gradient insert (strength=200 mT/m, slew=600 T/m/s) was
implemented. The high gradient strength in combination with the spiral readout allowed
for an echo time as short as 19 ms at a b-factor of 1000 s/mm2. The
high slew rate enabled shortening of the spiral readout duration which reduces sensitivity
against static off-resonance and T2* blurring artifacts, and allowed
imaging with an in-plane image resolution of only 0.69 mm. First in-vivo
results are presented.
Introduction
Diffusion-weighted (DW)
imaging is often limited by low spatial resolution, artifacts due to
physiological motion, and inherently low SNR that is further degraded by the
long echo times required for the diffusion encoding.
Single-shot acquisition
techniques are most commonly used to acquire DW images, since they are robust
against motion and SNR efficient. A combination of single-shot MRI with spiral
readouts provides the possibility to achieve shortest echo times for a given
diffusion encoding and thereby to improve the achievable SNR (1).
However, an undesirable
property of single-shot acquisitions is their sensitivity to static off-resonance
and T2* blurring artifacts, in particular when using long readout trains to
achieve high image resolution. Moreover, even shorter echo times are often
desirable, especially when requiring more SNR to target higher image resolution,
stronger diffusion weighting, or the assessment of diffusion properties of
tissues with short T2.
To address these needs,
we implemented single-shot spiral DWI using a recently developed gradient
insert (2) which allows for a
gradient strength of 200 mT/m on each axis and a slew rate of 600 T/m/s. The
high gradient strength in combination with the spiral readout allowed for an
echo time as short as 19 ms for a b-factor of 1000 s/mm2. The high
slew rate enabled shortening of the spiral readout duration which reduces the
sensitivity against static off-resonance and T2* blurring artifacts,
and allowed imaging with an in-plane image resolution of 0.69 mm. First in-vivo
results are presented.Methods
MR scanning was
performed on a 3T Achieva (Philips Healthcare, Best, The Netherlands) using an
8-channel transmit-receive coil array (3) and a custom-built gradient
insert (2).
A diffusion-weighted
spin-echo single-shot spiral sequence (Fig. 1) (FOV: 22 cm, in-plane
resolution: 0.68 mm, slice thickness: 3 mm, averages = 60, SENSE: R=3, DW: b=0
and b=1000 s/mm2 in 3 directions) was applied in a healthy subject.
The gradient insert was operated with 200 mT/m and 600 T/m/s, opting for the shortest echo time; the readout duration was 40 ms. Coil sensitivities as well
as static B0 maps were obtained from a multi-echo gradient echo scan
on the same geometry.
Operating gradient
systems at such strength and slew rates imply increased eddy currents which
need to be accounted for. Moreover concomitant (Maxwell) fields are also
amplified at higher gradient strength.
To find an accurate
encoding model, the spiral readout was recorded using a Dynamic Field Camera
(Skope MRT, Zurich, Switzerland) in a repeated scan. Field monitoring was
performed with three different field camera positions. From the combined data,
a 5th order spherical harmonic model was fitted. Higher-order
concomitant fields are commonly modelled separately based on an analytical
description (5). Due to the spatial non-linearity
of the gradient system, it is however unclear how well the concomitant fields are
described by this model. To judge the validity of the concomitant field model, the
fit error of the 5th order encoding model (using 48 field probes and
36 unknown coefficients) was evaluated with and without incorporation of the
analytical concomitant field model.
In addition to
higher-order concomitant fields, 0th order and linear concomitant field
components arise as a results of z-gradient asymmetry (4). The linear components
of the concomitant fields were actively compensated (6) during the readout to
avoid related signal dephasing.
All images were
reconstructed accounting for receive coil sensitivities, B0 map and measured
(higher-order) k-space coefficients (7).
Results and Discussion
Employing such strong gradients
for the diffusion encoding in conjunction with the spiral readout allowed for
an echo time of only 19 ms - as compared to around 60-100 ms (depending on resolution
and parallel-imaging acceleration) for single-shot EPI with typical gradient specifications
(50 mT/m, 200 T/m/s). The field monitoring data showed that the encoded image
resolution was π/kmax = 0.685 mm (Fig. 2a), which is only slightly
less than the targeted 0.68 mm - presumably due to eddy currents. The active
compensation of linear concomitant fields to avoid unwanted dephasing was
confirmed by the field monitoring results (Fig. 2a). Dynamic fields of higher order
in space had a substantial contribution to the image encoding (Fig 2b). Including
the analytical concomitant field model (5) into the encoding
model (Fig 2b) diminished non-fitted phase cumulating over the readout to less
than 0.5 rad (down from 4 rad), which, given the acquisition bandwidth per
pixel, can be regarded as sufficient.
The reconstructed images (Fig. 3) show
fine anatomical details, with little effects from static B0
off-resonance and T2* blurring, probably owing to the accuracy of
the encoding model and the high bandwidth of the acquisition.Conclusion
This is the first
presentation of a setup and sequence that allows for in-vivo brain DWI with
such short echo time and high image resolution. The achieved short echo time increases
the sensitivity to diffusion properties of tissues with short T2 such as myelin water (8) by an order of magnitude or more. The enabled resolution and improved sensitivity may readily be
employed for advanced studies of brain microstructure in-vivo.Acknowledgements
No acknowledgement found.References
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