Yoon-Chul Kim1, Eunju Kim2, Gabrielle Beck3, Hans Peeters3, and Young Kon Kim4
1Clinical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of, 2Philips Healthcare, Seoul, Korea, Republic of, 3Philips Healthcare, Best, Netherlands, 4Radiology, Samsung Medical Center, Seoul, Korea, Republic of
Synopsis
We apply a 3D continuous golden-angle radial sparse parallel (GRASP)
sequence to gadoxetic acid-enhanced imaging of the liver at 3 T. Arterial phase imaging may need high
spatial and temporal resolution as well as correct timing of capturing arterial
enhancement to obtain hemodynamic information of the tumor. Continuous
golden-angle radial sampling provides a flexible retrospective selection of
temporal window. We develop a technique that identifies the arterial peak from
high temporal resolution data and reconstructs arterial phases with different
temporal windows. The characteristics of hepatic arterial images after retrospective
temporal resolution selection are demonstrated.
Introduction
Conventional
breath-hold single phase imaging in gadoxetic acid-enhanced liver MR is known to produce artifact in hepatic
arterial phase images due to transient dyspnea. Triple arterial phase imaging
can acquire an arterial phase image unaffected by severe motion, but data
acquisition results in lower SNR due to reduced temporal window1.
Free-breathing and continuous acquisition using golden-angle radial sparse
parallel (GRASP) is an alternative and has the potential to reduce motion artifact in arterial phase
imaging2. Accurate timing for capturing arterial phase is important
in reconstruction of continuously acquired data. In this abstract we study a retrospective
reconstruction technique that first identifies the timing of contrast
enhancement, adjusts time offset in raw data, and reconstructs arterial phase
images with different temporal windows. Methods
Gadoxetic acid-enhanced liver MRI data were acquired during
free breathing using a 3D stack-of-stars golden-angle radial sequence on a Philips Achieva
3T scanner. Sequence parameters were as follows:
scan time = 1:04, TR/TE = 3.5/1.51 ms, total radial spokes = 379, partial
k-space along slice encode = 41/52, flip angle = 10°, image
matrix = 504 x 504 x 52, reconstruction voxel size = 0.73 x 0.73 x 2.0 mm. We scanned five healthy volunteers, and the MRI
protocol included other routine abdominal MR sequences: T2 weighted imaging,
diffusion weighted imaging, eTHRIVE DCE imaging, etc. The
BART parallel imaging compressed sensing reconstruction was adopted for the improvement of spatial and temporal resolution and was implemented in MATLAB3.
(Identification of maximal aortic enhancement frame) We reconstructed
a single slice with temporal resolution of 21 spokes (i.e., 3.5 sec) and measured
average signal in the aorta region of interest (ROI) at every frame. The time frame corresponding to the maximum aorta signal served
as a reference for determination of arterial phase images. (Retrospective reconstruction with different temporal windows) Based
on the peak enhancement frame, we adjusted time offset in the raw data and
reconstructed images using parallel imaging compressed sensing. Temporal
windows of 55 and 70 contiguous spokes were considered for image quality comparison. Temporal total variation was used for
reconstruction. Results and Discussion
The aorta
ROI is shown in Fig 1a. The time intensity curve shows the pattern of
contrast enhancement followed by contrast decay (Fig 1b). Although the 21-spokes
reconstruction is highly under-sampled, it produces acceptable image quality in
the aorta ROI and enables the identification of peak arterial enhancement
with high temporal resolution. The peak enhancement frame served as a reference
time point. Based on the reference time point (see the red dashed line in Fig 1c), we assigned the temporal
frames in the raw data. Fig 2 shows
comparison of different temporal resolution reconstructions from the same
continuously acquired raw data. The 55-spokes reconstruction shows that the
enhancement of hepatic vessel first occurs in 10.1 – 20.2 seconds while the 70-spokes reconstruction does exhibit the enhancement pattern in 0-12.8 seconds. This indicates that the enhancement in the hepatic vessel starts to occur between 10.1 and 12.8 seconds. The
70-spokes reconstruction suggests that higher SNR image can be obtained with longer temporal window in late hepatic
arterial phase in which its contrast change is relatively slower than early
arterial phase. In this work, we have not
addressed artifact issue resulting from respiratory motion. We will incorporate a
self-gating technique4 into reconstruction and study its effect on image quality.
Conclusion
We have demonstrated that the identification of peak aortic enhancement is feasible with high temporal
resolution reconstruction of continuously acquired golden angle radial sequence
data. The peak enhancement time
information can provide a reference time point. Subsequent retrospective
reconstructions with different temporal windows offer flexibility in selecting images
from early arterial and late arterial phases. Acknowledgements
No acknowledgement found.References
[1] Pietryga et al.,
Radiology 2014:271(2):426-434. [2] Chandarana et al., Investigative
Radiology 2013:48(1):10-16. [3]
Uecker et al., ISMRM 2015 p2486. [4] Feng et al., MRM 2016:75:775-788.