Zhaoyang Fan1, Qi Yang1,2, Zixin Deng1,3, Shlee Song4, Xiuhai Guo5, Wouter Schievink6, Xiaoming Bi7, Gerhard Laub7, Patrick Lyden4, and Debiao Li1,3
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Radiology, Xuanwu Hospital, Beijing, China, People's Republic of, 3Bioengineering, University of California, Los Angeles, CA, United States, 4Neurology, Cedars-Sinai Medical Center, Beijing, CA, United States, 5Neurology, Xuanwu Hospital, Beijing, China, People's Republic of, 6Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 7MR R&D, Siemens Healthcare, Los Angeles, CA, United States
Synopsis
High-resolution MR using variable-flip-angle
3D fast spin-echo (FSE) has emerged as a promising intracranial vessel wall
imaging technique. However, its typical implementations on clinically available
MR systems have several limitations. This work aimed to develop a 3D FSE-based method
that allows for CSF-attenuated T1-weighted whole-brain vessel wall imaging
within 8 min. Volunteer studies were performed during technical optimization.
Preliminary clinical validation was conducted in patients with various vessel wall
pathologies. The technique demonstrated excellent vessel wall delineation
quality, diagnostic accuracy, and patient tolerance. It may potentially become
a clinically practical imaging approach to stroke etiology assessment. Purpose
Stroke is a leading cause
of mortality and morbidity worldwide and arises from diverse intracranial wall
pathologies. Accurate characterization of these pathologies may help elucidate
stroke etiology and facilitate treatment decision. High-resolution MR using variable-flip-angle
3D fast spin-echo (FSE) has emerged as a promising intracranial vessel wall
imaging technique [1-4]. However, its typical implementations on clinically
available MR systems (e.g. 3T) have several limitations such as suboptimal image
contrast weighting, inadequate cerebrospinal fluid (CSF) signal attenuation, small
spatial coverage, and long scan times. This work aimed to develop a 3D
FSE-based method that allows for CSF-attenuated T1-weighted whole-brain vessel
wall imaging within 8 min.
Methods
Theory The technical
development was conducted in two phases. First, a commercially available 3D FSE
sequence (SPACE, Siemens) was optimized in spatial coverage and contrast
weighting. A non-selective hard RF pulse is used for excitation to achieve
whole-brain coverage. This allows the TE to reduce, thus increasing both T1-weighting
and SNR. To further suppress CSF signals and enhance vessel wall delineation, a
flip-down RF pulse module is applied immediately after each refocusing pulse
train, in effect serving as an inversion-recovery (IR) preparation [5]. Second,
the imaging time based on the above optimized IR-SPACE sequence was further
reduced. Elliptical data sampling and prolonged echo train length (ETL) were
exploited to expedite the acquisition. However, this would reduce overall SNR.
On the other hand, SNR is intimately related to the refocusing flip angles that
are calculated for a prescribed signal evolution of a tissue with specific T1
and T2 values (denoted here as simulation T1 and T2) [6]. Thus, SNR may be
gained by using appropriate simulation T1/T2 values.
Experiment Imaging was conducted
on a 3T system with a 32-channel head coil. Phase
I. IR-SPACE was validated on volunteers (7 health, 4 patients with severe
luminal stenosis) in comparison with the conventional SPACE sequence. The major
imaging parameters shared by the two sequences were: 3D sagittal orientation; TR/TE
800/10ms; isotropic spatial resolution 0.5mm; GRAPPA
factor 2; ETL 37; signal average 1; scan time 11-12min. Moreover, vendor’s default
simulation T1/T2 (940/100ms) were used in all scans. Phase II. the effects of simulation T2 (T1 has less effect on SNR
according to pilot data and was fixed at 1100ms) and ETL on vessel wall SNR,
wall-CSF CNR, and white-gray matter CNR (indicative of T1 contrast weighting)
were first explored on 11 healthy subjects. The range of potentially useful
protocols (i.e. combinations of ETL and simulation T2) was then narrowed; specifically,
ETL=52 combined with a simulation T2 of 140, 170, and 200 ms were respectively
tested on additional 10 healthy subjects. A combination of ETL=36/T2=100ms as
used in Phase I was used as the reference. An optimal imaging protocol was
determined from the four scans and finally applied to a study of 18 patients
for preliminary validation.
Results
Phase I The new sequence provided spatial coverage for
the entire intracranial arterial system. Smaller vessel segments such as the middle
cerebral artery M3 and M4 were visible. The contrast ratio of vessel wall-to-CSF
(0.14±0.16 vs. 0.52±0.30, p = 0.007) and vessel wall sharpness (0.89±0.61mm-1
vs. 1.22±0.56mm-1, p < 0.001) were significantly enhanced as compared
with the conventional sequence. The boosted T1 contrast weighting and CSF attenuation
made the sequence more sensitive to high-T1-signal features (
Fig. 1). Both atherosclerosis and
inflammatory wall disease were identified by IR-SPACE.
Phase II Increasing
simulation T2 improved SNR and CNR (
Fig.
2 a, b), and ETL had an opposite effect (
Fig. 2 c, d). An ETL of 52 appeared to allow the scan time to
reduce to 8 min while avoiding drastic SNR/CNR sacrifice. The use of ETL=52/T2=170ms
significantly increased wall SNR (p=0.002), wall-CSF CNR (0.026), and
white-gray matter CNR (0.004), but reduction of vessel wall sharpness (inner
and outer boundary) was not significant, as compared with the original 12-min
protocol (ETL=36/T2=100ms) (
Fig. 3).
This combination was chosen as an optimal protocol with which wall
abnormalities were detected in all patients in agreement with their clinical
diagnosis (
Fig. 4). The 8-min scan
was well tolerated in all patients according to a post-scan survey and image
quality evaluation.
Discussion and Conclusion
Whole-brain
intracranial vessel wall evaluation is feasible with clinically acceptable scan
time and quality.
Our
preliminary data has shown that the proposed method offers good vessel wall
delineation and accurate identification of vessel wall abnormalities due to
improved T1 contrast weighting and CSF attenuation, large spatial coverage, and
acceptable scan times. A large-scale trial on using the technique for diagnosis
of stroke etiology is underway to establish its clinical usefulness.
Acknowledgements
No acknowledgement found.References
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