Janio Szklaruk1, Priya Bhosale1, Kang Wang2, Ty Cashen2, Jingfei Ma3, and Ersin Bayram4
1Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 3Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Global MR Applications & Workflow, GE Healthcare, Houston, TX, United States
Synopsis
Dynamic abdominal imaging has the
requirements of high spatial-temporal resolution, large spatial coverage, and
acquisition timing with the contrast injection. Golden angle radial sampling in
combination with compressed sensing and parallel imaging has been reported for
free breathing dynamic volumetric imaging. However, radial sampling
suffers from streaking artifacts, inflexible FOV prescription, and long
reconstruction time. In this study, we
report a Cartesian sampling technique that combines compressed sensing,
parallel imaging, temporal view sharing, and navigator for prospective gating.
The potential of the technique for free breathing dynamic abdominal imaging is demonstrated
in both volunteers and patients.
Introduction
Recent work on radial
sampling with sparse reconstruction allowed high spatial-temporal free
breathing dynamic imaging of the liver1. However, streaking artifacts and restrictions
(long reconstruction times, square field of view and square pixels) from radial
sparse sampling can be undesirable. We propose to address these limitations by
incorporating into DISCO2 (Differential Subsampling with Cartesian
Ordering, which is a high spatial-temporal Cartesian imaging technique
utilizing view sharing and parallel imaging) the following enhancements: 1)
spectrally selective inversion for fat suppression3, 2)
automatically placed cylindrical navigator pulse4 for free breathing
acquisition and 3) Compressed Sensing5 (CS) to compensate the scan
time cost from navigators. The high efficiency of our proposed technique could
enable a simplified and consistent workflow with multiple arterial phase
capture, and potentially replacing the need for contrast monitoring with a
fixed delay of 20 seconds after contrast injection. We demonstrate the
feasibility of our technique in healthy volunteers and patients. Methods
In our
proposed technique, randomly undersampled k-space points are segmented and each
segment shares a spectrally selective fat suppression pulse and a navigator
pulse for motion monitoring as shown in Fig 1. In the reconstruction, temporal view
sharing is utilized first, followed by CS5 reconstruction of randomly
undersampled data using L1-norm minimization of total variation and imposing sparsity
iteratively to recover uniform k-space in the parallel imaging domain. Finally,
data driven parallel imaging6 with auto-calibration signal (ACS)
points produces the complete k-space data. Scan workflow is shown in Figure 2. A prospectively
gated mask phase is collected in 18-24s. The scanner pauses for contrast
injection and allows the technologist to inspect and confirm the image quality.
Contrast injection is followed by a programmed delay of 20s and four to five
phases of free breathing dynamic imaging with 8-10s of scan time per phase that
can cover both arterial and venous phases. Finally, a delayed phase is
collected. Temporal acceleration via view sharing is restricted only to the
continuous scanning part of the acquisition to minimize temporal blurring. Reconstruction
is online and recon lag per phase is less than 5 seconds, which allows nearly
instant review of the image quality. Volunteers and patients were scanned on
3.0T scanners (Discovery MR 750w & Signa Premier, GE Healthcare, Waukesha,
WI) using high density body receiver array coils under IRB approval. The
following scan parameters were used: Axial scan plane, 3D SPGR sequence, TR/TE
= 3.0/1.0 msec, rBW = 83 kHz, image resolution of 1.5x1.7 mm in-plane and 5 mm
slice thickness interpolated to 2.5 mm, FOV = 40x32 cm, flip angle = 10o. Results
Figure 3 shows an example healthy
volunteer image demonstrating the benefit of prospective navigation. Despite
the substantial hit on scan efficiency (3s vs. 10s per phase), the use of
navigator substantially minimized the breathing artifacts while allowing at
least dual arterial phases in free breathing. Figure 4 shows example images
from free breathing patient scanning. Although the images were all acquired
post gadolinium contrast injection, the quality demonstrates the potential motion
robustness if they were acquired for imaging contrast injection. Discussion
With a combination of CS, parallel
imaging, and DISCO view sharing, coverage of the entire abdomen can be achieved
with Cartesian sampling in about 3 to 4 seconds of acquisition time or only a
couple of respiratory cycles in free breathing. Our results show that such a
high acceleration can be exploited for free breathing dynamic imaging of the
abdomen for better and more reliable capture of the first pass of contrast. Upon
further validation, this technique may enable improved MRI of the liver, such
as for the assessment of liver cancer or metastases, where high spatial
resolution and high image quality over the whole liver is a significant unmet
need. Conclusion
Free
breathing dynamic abdominal imaging with prospectively gated highly accelerated
Cartesian sampling is demonstrated in both volunteers and patients with
streamlined workflow. Upon further validation, this technique may provide an alternative
for patients who have limited breath-hold capacity or are under sedation.Acknowledgements
The authors would like to acknowledge Brandy Reed and Stacy Hash for their help in collecting the MR scans for this project. References
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