Chunqiu Su1, Xiance Zhao2, Jilei Zhang2, Xunning Hong1, and Shanshan Lu1
1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Philips Healthcare, Shanghai, China
Synopsis
Arterial spin labeling
(ASL) is a non-invasive MRI perfusion technique that can quantify tissue blood
flow, which is meaningful for clinical applications. However, ASL perfusion
images always have a limited signal-to-noise ratio (SNR). We aimed to using the
echo planar imaging with compressed SENSE (EPICS) to obtain high-quality brain
ASL images. Eleven healthy subjects and four patients with intracranial
infarction were enrolled, and underwent ASL imaging with and without EPICS. The
results demonstrated the feasibility of EPICS to increase the quality of ASL
images.
Introduction
Arterial
spin labeling (ASL) is a non-invasive MRI perfusion technique that can quantify tissue blood flow1-2. Compare with 3D
pseudo continuous arterial spin labeling (pCASL), clinical 2D pCASL images
based on echo planar imaging (EPI) are insensitive to image artifacts from
motion but with limited signal-to-noise ratio (SNR)3. Compressed
SENSE (CS) was initially introduced to MRI to increase scanning speed, for its
ability to reconstruct images accurately from highly under-sampled data4.
The CS reconstruction can also combine with EPI, to improve image quality for
high-resolution DWI5. In this study, we attempted to using the echo planar imaging with compressed SENSE (EPICS) to
obtain high-quality brain ASL and to demonstrate the
feasibility of EPICS-ASL.Method
Eleven
healthy subjects (3 males, 8 females; mean age, 39.55 years ± 11.62 [standard
deviation]; range, 23 to 57 years) without known cerebrovascular disease and four
patients (4 males; mean age, 60.25 years ± 9.91 range, 48 to 70 years) with intracranial
infarction were scanned as part of this study. 2D pCASL was acquired in
subjects with an axial single-shot, spin-echo, echo-planar imaging sequence, on
a 3.0T MRI system (Ingenia CX, Philips Healthcare, Best,
the Netherlands). The sequence used the following parameters: repetition
time (TR) = 4550 ms, echo time (TE) = 12 ms, pixel size = 2.7 × 2.7 mm2, slice thickness = 5.0 mm, FOV =
240 × 240 × 95 mm3, SENSE factor or CS-SENSE factor = 2.3. ASL
imaging with and without EPICS were sampled with same scanning time.
Signal-to-noise
ratio (SNR) was determined by the ratio between the mean signal intensity
inside the ROI (SROI) and the standard deviation of the background noise (σBG)
(SNR = SROI/σBG). We performed the SNR
of basal ganglia, white matter, grey matter, brain stem, cerebellum and Infarction
for patients. Then, all images were rated according to a scale that ranged from
1 (unacceptable image quality) to 4 (artifact-free image without distortions
and with high-level anatomic detail). Similarly, for the patients, infarction boundary
was rated according to a scale that ranged from 1 to 3 (1: cannot be displayed;
2: the boundary is blurred; 3: the boundary is clear). Differences in SNR between
EPICS-ASL and EPI-ASL images were assessed using
two-sided t tests, and image quality and infarction boundary were assessed
using Wilcoxon signed rank test.Result
The EPICS-ASL was superior to EPI-ASL regarding the SNR
(P<0.05), and image quality in the basal ganglia, white
matter, grey matter, brain stem, and cerebellum (P<0.05).
Detailed qualitative comparison of SNR and image quality between EPICS-ASL and EPI-ASL is shown in Table 1 and Table 2.
Representative EPICS-ASL and EPI-ASL images of a healthy subjects are shown in
Figure 1. The EPICS-ASL image demonstrated increased SNR of infraction and infarction
boundary compared with EPI-ASL images in patients. Detailed qualitative
comparison is shown in Table 3. Representative EPICS-ASL and EPI-ASL images of
a patient with chronic ischemic stroke in left basal ganglia was shown in Figure
2.Discussion
ASL is a non-invasive MRI perfusion technique
meaningful for clinical applications. However, 2D pCASL images based on EPI
always have a limited SNR. In this study, we obtained high-quality 2D brain ASL
images by combining the EPI with CS reconstruction. The results demonstrated
the feasibility of EPICS to increase the quality of ASL images. However, there
are still some limitations in our research. For example, we didn’t compare 2D EPICS-ASL
with 3D pCASL, which is more commonly used in clinical application for its
higher SNR and better background suppression efficiency.Conclusion
The
EPICS-ASL was superior to EPI-ASL in the SNR and image quality. EPICS-ASL could
improve the image quality of brain
ASL and may help to accurately evaluate the cerebral perfusion.Acknowledgements
No acknowledgement found.References
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