Alexander Aranovitch1, Maximilian Haeberlin1, Simon Gross1, Thomas Schmid1, and Klaas Paul Pruessmann1
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland
Synopsis
A field-detection
based method for prospective motion correction is proposed which uses the
sequence itself for localizing NMR field probes. No additional gradients or
increase of the sequence duration are required to apply this method to various
MR sequences, such as clinically relevant spin-warp sequences. The proposed
method collects high-frequency information present due to gradient switching
from multiple short, temporally separated snippets within one TR. A precision on
the order of 10µm and 0.01° (RMS) for translational and rotational degrees of
freedom is obtained. The method is demonstrated in-vivo with high-resolution
T2*-weighted gradient echo scans. Introduction
Prospective motion correction (PMC)
is an effective method to correct for head motion in MRI1. PMC
performs real-time updates of the sequence geometry in accordance with tracking
data of the head. Several methods exist to track head motion2-5. In [3]
a dedicated gradient sequence was used to track NMR markers. Another type of
NMR markers was tracked by superimposing gradient tones5. These two
methods come at the expense of either scan-time prolongation or alteration of
the sequence. For the special case of EPI sequences with moderate spatial
resolution, NMR field probes6 were used to implement PMC without
sequence alteration7, relying on intrinsic high-frequency content within
the gradient waveforms. However, the large class of higher-resolved and clinically
relevant standard spin-warp sequences cannot be treated by that approach due to probe dephasing, caused by large gradient moments.
In this work we propose a novel strategy for addressing this issue. To achieve
this, sufficiently diverse gradient time-courses measured by the probe are
needed for spatial encoding. The problem of probe dephasing due to large
gradient moments needs to be solved and probe relaxation prior to re-excitation
has to be considered. Moreover, low frequency content of the gradient waveforms
is unreliable for probe tracking4 and should be avoided. The
proposed method employs short-lived NMR field probes, which can be re-excited quickly.
This provides a means to acquire several short within-TR snippets. These
snippets are chosen such that their combination delivers three linearly independent
gradient time-courses. As a result, the probe position can be inferred. Fig.1
exemplifies such snippets. A sequence contains high frequencies due to gradient
switching, which is mathematically a ramp-function. Hence, a robust position
determination is possible. The proposed method is demonstrated in-vivo with high-resolution
T2*-weighted gradient echo scans.
Methods
Four snippets were chosen as
depicted in Fig.1. The snippets are concatenated and the resulting phase-signal
time-course is denoted by $$$\phi(t)$$$. The Fourier transform of its temporal derivative at frequency f reads
$$$FT[\dot{\phi}(t)]_f=\gamma\cdot(g_{0,f}+xg_{x,f}+yg_{y,f}+zg_{z,f})$$$, where the $$$g_{[x,y,z],f}$$$ denote the Fourier coefficients of
the respective gradient signals at frequency f. $$$g_{0,f}$$$ reflects coupling to the
B0-field. To determine the $$$g_{i,f}$$$, a calibration was performed by rigidly placing
four probes inside the scanner at known positions4. Calibration
coefficients were obtained for every phase-step of the spin-warp sequence. To compute
{x,y,z}, the calibration is required for at least three frequencies. Seven
frequencies were chosen in the range of 300-700Hz and 1700-3000Hz. Precision
was identified with the RMSE of reconstructed probe positions in a static
experiment. By per-TR computing of probe positions, rigid-body transformation estimates
were obtained and sent to the scanner.
All scans were performed on a 7T Philips Achieva system (Philips Healthcare,
Cleveland, OH) with a 32-channel receive array (Nova Medical, Wilmington, MA). Four
19F NMR field probes (diameter=1.3mm, T1=1.5ms) were used, run with a
dedicated acquisition system8. For in-vivo PMC they were attached to
the head using a setup as shown in Fig.2. With a T2*-weighted gradient
echo sequence (parameters: voxel-size =0.5x0.5x2mm³, TR/TE=340/26ms,
flip-angle=30°, 8 slices, duration=2:17min) the following scans were performed:
a fixed spherical phantom (Agar/NiCl2) with attached probes was scanned with and without PMC to verify
identical image quality. In-vivo, for
scans without deliberate motion of the subject and with instructed head motion PMC was turned on and off respectively.
To further assess the method’s ability to address subtle involuntary motion, a
longer T2*-weighted higher-resolution scan was additionally performed with and
without PMC (sequence parameters: voxel-size=0.3x0.3x2mm³, TR/TE=720/25ms,
flip-angle=45°, 15 slices, duration=9:14min).
Results
The precision with respect to translational and
rotational degrees of freedom was assessed to be 10-25µm and 0.008-0.014° (RMS),
respectively. This is sufficient to apply PMC to the targeted sequences. Fig.3 shows images of the phantom. The detailed structure of the air-bubbles is
reproduced with high fidelity in the corrected scan. Fig.4 displays the motion
parameters for the case of instructed motion. In-vivo images are presented in Fig.5.
Strong motion artifacts are visible in Fig.5b/c in the uncorrected case, that
do not occur in the corrected one. The higher-resolution case in Fig.5d also
demonstrates the improved image quality with PMC.
Discussion and Conclusion
Without the need to increase sequence duration or adding gradients, a field-detection based motion
correction has successfully been implemented on high-resolution spin-warp sequences. A caveat is that sequences may have short time periods when there is
neither phase encoding nor phase spoiling, e.g. at $$$k_y=0$$$. To avoid
temporary loss of information along the corresponding coordinate, the spoiler gradient
can be off-set. This was done in this work and is applicable unless gradient
moments have to be fully balanced (e.g. balanced-SSFP).
Acknowledgements
No acknowledgement found.References
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