Gabriele Beck1, Alan Huang1, Adri Duijndam1, and Lars van Loon1
1Philips Healthcare, Best, Netherlands
Synopsis
While Dixon provides superb fat suppression over large imaging volumes, motion can be
a challenge in specific anatomies. This work evaluates a comprehensive approach
to reduce motion artifacts in Dixon TSE and FFE sequences, combining a novel Dixon decorrelation approach, partial averaging, modulus in-phase (IP) – out-phase (OP) combinations
and saturation of the physiological motion artifact sources by the means of saturation pulses and variable refocusing flip angle sweeps. We are able to show that this approach allows us to effectively remove motion artifacts improving the diagnostic
quality of Dixon scans.Introduction
While Dixon with a multi-peak-fat model provides superb
fat suppression over large imaging volumes, motion can be a challenge in
specific anatomies. This work evaluates a comprehensive approach to effectively
reduce remaining motion artifacts in Dixon TSE and FFE sequences, using Dixon decorrelation,
partial averaging, saturation
of the physiological motion artifact sources and in-phase (IP) – out-phase (OP) combinations.
Purpose
To noticeably reduce motion artifact in Dixon TSE and FFE sequences in anatomies hampered by motion, by providing a comprehensive Dixon acquisition and reconstruction approach.
Methods
In a segmented k-space acquisition of multi-shot Dixon TSE
sequences, motion within a short time leads to ghosting in the image. In the case
where Dixon echoes are correlated, these motion ghosts are
equivalent in amplitude when compared to standard TSE sequences. In the case where
Dixon echoes are decorrelated, the repetitive motion ghosts are varied and
averaged out. Simulations (MATLAB, The MathWorks, Massachusetts, United States) and phantom experiments were performed
to demonstrate artifact levels of correlated and decorrelated motion using this novel Dixon
decorrelation approach. Furthermore, the combination of this decorrelation approach with
partial averaging and variable density sampling [1], where the k-space center is acquired more times and is denser than the
periphery of k-space, is explored. Saturation pulses
parallel to the excited slices and variable refocusing flip angle sweeps [2] are examined to reduce the flow ghosting
artifacts from inflowing blood. Finally, the effect of motion on the generation of
IP and OP images and synthetic water and fat images from the complex water and fat images has also been studied.
Simulation experiments and
volunteer scans were used to investigate a modulus combination approach. All experiments were performed on
Philips 1.5T and 3.0T (Best, The Netherlands) clinical scanners. A phantom
study evaluated the proposed improvements in a controlled setting, and a volunteer
study was performed on twenty subjects for dual echo Dixon FFE and TSE
acquisition in various applications: abdomen, lumbar spine, breast, knee, and shoulder.
Results
Phantom and free breathing abdominal volunteer scans were
acquired with conventional Dixon TSE (Fig. 1 - top), Dixon TSE decorrelation
(Fig. 1 - middle), and Dixon TSE decorrelation in combination with
partial averaging (Fig. 1 - bottom). To simulate motion in a controlled phantom setting, a tube (red
circle) was removed after one shot during a pause of the scan. Note the motion
ghosting is much less visible when Dixon decorrelation is used compared to the
standard correlated approach and is even further reduced with partial averaging
(Fig. 1 - red arrows). Results from the volunteer study are shown in Fig. 1 - on the right side - for the abdomen. Respiratory motion is effectively reduced with
the Dixon decorrelation approach compared to the standard Dixon TSE and is
almost completely removed with the combination of Dixon decorrelation and
partial averaging. Fig. 2 - top demonstrates the effectiveness of the saturation pulses in Dixon TFE removing the flow ghosting artifacts from inflowing
blood from the abdominal aorta. The effect of refocusing flip angle sweeps to
suppress flow ghosting artifacts in Dixon TSE are shown in Fig. 2 - bottom in the knee
application. Flow ghosts are nicely reduced using the TSE refocusing flip angle
sweep in combination with Dixon decorrelation. Additionally, partial averaging
with variable density sampling can be combined with the Dixon decorrelation
approach to further reduce physiological ghosting artifacts. The effect of modulus combination of water and fat images to
generate Dixon IP and OP images is shown in Fig. 3 on simulations and
volunteer
scans. Motion ghosts introduced by an incomplete breath hold in the Dixon
FFE
sequence is effectively reduced with modulus combination.
Conclusion
The combination of improvements
including Dixon decorrelation, partial averaging, saturation
of the physiological motion artifact sources using saturation pulses and refocusing flip angle sweeps, and modulus synthetic Dixon image combinations, reduce the sensitivity of Dixon FFE and TSE scans to
motion and subsequently improve the diagnostic quality of the scans.
Acknowledgements
References
1. Beck et al, Proc ISMRM 2014,
p 5244
2. Busse et al,
MRM 60, Issue 3, pages 640-649, Sept. 2008