Maximilian Haeberlin1, Alexander Aranovitch1, Bertram Wilm1, David Otto Brunner1, Benjamin Dietrich1, Barmet Christoph2, and Klaas Paul Pruessmann1
1Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland, 2Skope Magnetic Resonance Technologies, Zurich, Switzerland
Synopsis
A system for prospective motion correction using field probes and gradient tones is presented that is independent of sequence parameters and thus compatible with clinically relevant scans. An examples of a successfully corrected MPRAGE sequence is shown and the bandwidth and the amount of unintentional head motion is measured during a 32 min. scan.Introduction
Rigid body motion is a major contributor to image quality degradation in
both clinical and research applications of MRI. External marker-based prospective
motion correction (PMC) methods address that problem by adapting the geometry
of the MR sequence to the moving head by tracking head-mounted markers in
real-time
1–7. The gradient tones
(“tones”) approach stands out as the only one that requires no line-of-sight
access to the head and performs marker (“field probe”) tracking without
additional scan time and robustness against low-frequency field fluctuations. The
implementation of the tones method
6, however, contained
shortcomings that precluded its application to a clinical setting. The tones
were placed into the image encoding part of the sequence, which required both informing
the image reconstruction about the gradient system’s realization of the tones
as well as applying a bandstop filter to the sequence gradients for
sequence-orthogonal probe tracking. That coupled the field-probe and sequence design:
The probe’s T2 relaxation time was matched to the duration of the imaging
readout, its sample diameter was limited by the imaging resolution. The
PMC digital signal processing (DSP) chain was implemented entirely on the MR
system, which required available RF receive hardware for
19F signal reception on
the spectrometer as well as computing power on the sequence controller. This
lower-bounded the sequence TR to several tens of milliseconds, thus precluding
scans with short TR.
The current work addresses the limitations of
the gradient tones implementation for improved compatibility with clinically important
scans. This is achieved by employing field probes with higher sensitivity to
allow very short tone durations that can be incorporated into sequence periods
other than the image encoding without the need to bandstop filter them. PMC is realized
with a new system that performs the probe signal acquisition and the DSP on an
external computer for independent motion tracking and sequence operation. The approach is validated in vivo with a 3D-T1w-TFE (MPRAGE) sequence.
Methods
All
experiments were conducted on a Philips 3T Achieva System with a volunteer equipped with a novel headset 3D-printed with ABS (Fig. 1). The headset was designed to provide stability and motion-freedom and minimal skin contact. The
probes were connected via custom-built
hardware to
a custom-configured system that controlled the probes’
transmit/receive operation
8. The system was programmed in LabVIEW
to perform DSP operations for PMC including phase-unwrapping, probe
position determination
6, and the computation of rigid body parameters
9. It transmitted the geometry updates used for PMC
to the host using the manufacturer’s external data interface
10.
Bandwidth estimation: Three healthy volunteers were tracked using tones to
estimate the bandwidth of unintended motion in order to estimate the required tracking
frequency of the external PMC system. The tracking sequence contained three
tones (Frequencies = 1.5 (x), 2.5 (y), 3.5 (z) kHz, Amplitudes=8.5mT/m,
duration=2ms) that were repeated at 100Hz for 32min.
In vivo validation: The external PMC
system was used to perform PMC in a 3D T1w TFE sequence (1mm3
resolution, 240x240x180 mm FOV, TFE shot duration 1.9s, IR time 1s, flip angle 8°)
augmented with gradient tones (frequencies 4.3 (x), 5.7 (y), 7.1 (z) kHz,
duration=0.7ms, amplitudes = 6.6 (x), 5.5 (y), 4.4 (z) mT/m) placed on the
plateau of each crusher gradient and in the inversion recovery period (Fig. 2).
A healthy volunteer was instructed to remain still (Experiment 1), and to perform a head shake motion (Experiment 2) and each experiment was
repeated with and without PMC. PMC was performed with field a probe design optimized
for motion tracking: A very short T2 (approx. 3ms) and a thick sample diameter
(1.6mm) allowed for sensitive tracking at high repetition rates. The probes’ TR
during the TFE train was chosen independently of the sequence TR (8ms) and to safely
fulfill the expected Nyquist rate from the preceding bandwidth estimation, and
amounted to 16 ms.
Results
The
results of the bandwidth experiments are plotted in Figs. 3a/b. Significant
motion was present up to 12Hz. The corresponding time-domain representation of
the rigid body parameter fits are shown in Figs. 3c/d/e, and exhibit drifts of
up to 2° and 3mm, respectively.
Image reconstructions of the in vivo experiments are shown in Fig.4 (Experiment
1), and Fig.5 (Experiment 2).
Discussion
The present work demonstrates the application of PMC using gradient
tones to an MPRAGE sequence by means of an external system that allows the
independent operation of probe tracking and sequence tasks. The empirically
determined tracking rate of 24 Hz will be a very useful guideline for future
head tracking system designs. The improved probe sensitivity enables gradient tones of sub-millisecond duration, which are easily placed in available sequence windows
Acknowledgements
Giel Mens from Philips Medical System is gratefully acknowledged for help with setting up the communication link to the MR scanner.References
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