Valentin Fauveau1, Adam Jacobi2, Adam Bernheim2, Michael Chung2, Yang Yang1,2, Thomas Benkert3, Zahi Fayad1,2, and Li Feng1,2
1BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
Synopsis
Spiral
UTE is a relatively new MRI technique that combines ultra-short echo time
acquisition with a stack-of-spirals trajectory for imaging the lung. In this
work, we aimed to analyze the motion sensitivity of different reordering
schemes and breath holding positions in spiral UTE MRI to determine the
optimized protocol for imaging the lungs. A blind assessment was performed by
three experienced chest radiologists and the results were analyzed with
statistical tests. The Spiral UTE with line-in-partition reordering performed
during the inspiration phase was considered the best protocol in our study.
Introduction
MRI with ultra-short echo time using a
stack-of-spirals trajectory (spiral UTE) has been
a relatively new method for imaging the lungs without contrast media [1-6]. Compared
to more conventional UTE-MRI acquisition based a half-spoke 3D radial
trajectory, spiral UTE has increased imaging efficiency that can enable 3D MRI
of the lung within a single breath hold. This technique has been demonstrated
in several lung MRI studies with encouraging performance [1-6]. Using the stack-of-spirals
trajectory, k-space can be acquired with different reordering schemes, as shown
in Figure 1. Specifically, stack-of-spirals k-space data can be acquired with either
a line-in-partition scheme or a partition-in-line scheme. For the line-in-partition
scheme, all spiral interleaves for a given partition are acquired first before
moving to the next partition; while for the partition-in-line scheme, all
spiral interleaves at a given acquisition angle are acquired before moving to
the next acquisition angle. Thus, different reordering schemes can lead to
different performance particularly in presence of motion (e.g. cardiac motion
or failed breath hold). In this study, we aimed to investigate the performance
of spiral UTE-MRI of the lung using both reordering schemes. We also compared
images acquired during different breath holding positions.Methods
Spiral UTE-MRI was performed in a total of 31 subjects (15 males, 16 females, mean age= 44.6±14.6 years) using a prototype spiral UTE VIBE sequence. For each subject,
four 3D spiral UTE datasets were acquired, including two acquired with the line-in-partition
ordering scheme in inspiratory and expiratory breath-hold positions, respectively,
and two acquired with the partition-in-line ordering scheme in inspiratory and
expiratory breath-hold positions, respectively. Each spiral data was acquired under
a single breath hold of ~18 seconds. For comparison, two additional data were
also acquired using a 3D breath-hold Cartesian GRE sequence in both inspiratory
and expiratory breath-hold positions (see in Figure 2 all protocols acquired).
All images were pooled and randomized for blind
assessment by three experienced chest radiologists. All readers independently
scored the large arteries, large airways, segmental arteries, segmental broncho
vascular structures, subsegmental vessels and also the overall artifact level based
on a 5-1 scale, where 5 to 1 indicates the best image quality to the worst or
the most artifacts to the least. The results were summarized for each
assessment category as mean ± standard deviation. The Wilcoxon Signed-Rank test
was used to evaluate the difference between different acquisition schemes, with
P<0.05 indicating statistical significance.Results and Discussion
The average scores from different data acquisition schemes are
shown in Figure 2. Overall, our results have also shown that spiral UTE images
acquired during the inspiratory breath-hold position are significantly better (P<0.05)
and can be more robust than the other spiral imaging schemes. This is expected, since it is easier for patients to hold their breath after
inhalation, thus reducing the risk of getting motion artifacts. This, in fact,
is preferred for lung MRI since more lung space can be visualized when it is
expanded, and routine chest CT images are also typically acquired during an
inspiratory breath hold position. Spiral UTE with the line-in-partition reordering
performed in the inspiratory breath-hold position also received significantly
higher scores (P<0.05) than 3D Cartesian images except for the large
arteries in the inspiratory breath-hold position (see Figure 2). Figure 3
compares spiral and Cartesian images in a volunteer to demonstrate the improved
motion robustness with spiral sampling.
Our results have also shown that
spiral UTE images acquired with the partition-in-line reordering are more
sensitive to motion, as shown in Figure 4. This is because the
line-in-partition reordering aims to minimize in-plane motion given the
efficient k-space sampling with spiral k-space sampling. On the other side,
spiral UTE with the partition-in-line reordering aims to minimize through-plane
motion, while motion (such as motion from cardiac beating or failed breath
hold) could occur when sampling from one spiral stack to the next. However, it
should be noted that when data acquisition is performed during free breathing,
the partition-in-line may be better to track motion and sorting the acquired
data into different motion phases. Also, the partition-in-line reordering is
the scheme to use when fat saturation is needed.Conclusion
In this study, we investigated the reordering scheme
and breath hold position that are preferred when using the spiral UTE sequence.
Our results have shown that breath-hold spiral UTE MRI with the
line-in-partition scheme is consistently better than the partition-in-line
scheme. In addition, we have also shown that images acquired during inspiration
are better than that acquired in expiration. We believe these investigations
are important to guide users who are interested in using this imaging technique
and for better translation of this new method into the clinic. Acknowledgements
This project was supported in part by NIH R01EB031083.References
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