Shengzhen Tao1, John Huston III1, Erin Gray1, Joshua Trzasko1, Myung-Ho In1, Yunhong Shu1, and Matt Bernstein1
1Radiology, Mayo Clinic, Rochester, MN, United States
Synopsis
The fast-spin-echo (FSE) acquisitions are the workhorse for routine MRI, but can be
affected by concomitant field (CF)-induced phase errors. Recently, a compact 3T
(C3T) MRI platform equipped with an asymmetric, high-performance gradient was
developed. The asymmetric design of this gradient induces zeroth/first-order CFs
(in addition to the second-order CF on conventional whole-body gradients), which
can degrade image quality of FSE acquisitions. We have previously developed
real-time gradient pre-emphasis and frequency shifting techniques to compensate
for these additional CFs. Here, we demonstrate that these compensations significantly
improve image quality of FSE using a clinical T2w-FSE protocol and a
preliminary dataset.
Purpose
Fast-spin-echo (FSE) or turbo-spin-echo (TSE)
acquisitions are currently the workhorse for a variety of MR applications1-4.
Recently, a low-cryogen, compact 3T (C3T) MRI system equipped with high-performance
gradients (80 mT/m gradient amplitude and 700 T/m/s slew-rate, simultaneously) was
developed and is under clinical evaluation in our institution5,6.
The risk of peripheral nerve stimulation is substantially reduced5
on this system due to the smaller size of the gradient coil (42-cm inner
diameter, 26-cm diameter-spherical-volume) even at its full gradient
performance. The C3T system is capable of scanning brain, extremity, and
infant. The 700 mT/m/s gradient slew-rate is 3.5 times higher than that of a
conventional, 60-cm bore, whole-body gradient system such as GE MR750 (200
T/m/sec). The faster slew rate can significantly shorten the echo time for FSE/TSE.
The reduced echo time can in turn improve signal level, shorten data
acquisition time, and therefore improve image quality7. This system
employs an asymmetric design for the transverse (x,y) gradient coils; the
center of the imaging volume is shifted away from center of the coil towards
the patient end, which facilitates patient access to imaging volume. However,
this design gives rise to the concomitant field (CF) terms of the zeroth and first-order
spatial dependences8, in addition to the second-order CF on the
conventional whole-body gradients with symmetric design9. These
additional CF can cause signal loss and image ghosting in FSE acquisitions10,
potentially impairing the diagnostic value of FSE images within the clinically
relevant spectra of acquisition parameters. We have previously reported real-time
techniques to compensate for these additional CFs using gradient pre-emphasis11
and frequency shifting12. Here, the effect of these compensations on
the image quality of FSE was evaluated based on a preliminary data set (n=11)
subjects using a clinical, T2-weighted FSE protocol. We demonstrate that the CF
compensation significantly improves quality of clinical FSE images acquired on
the asymmetric gradient system.Methods
Under an IRB-approved protocol, eleven volunteers
were scanned on the C3T system using a 32-channel (Nova Medical Inc.,
Wilmington, MA) (n=8) or 8-channel (Invivo, Gainesville, Florida) (n=3) receive-only
brain coils and a 2D axial-oblique T2-weighted FSE acquisition (detailed in
Table 1). Acquisitions were performed with and without the prospective zeroth/first-order
CF compensations using real-time frequency shifting12 and gradient
pre-emphasis11. These compensations were implemented on the RF and
gradient subsystems responsible for B0 and linear gradient eddy-current
compensation. The acquired images were evaluated in a blinded fashion by a
board-certified neuroradiologist (26 years of experience) based on 1) relative
signal level, 2) image ghosting, 3) small structure conspicuity, 4) white-to-gray
matter contrast, and 5) overall exam quality. The image quality is graded on a
five-point scale from -2 to +2, with -2 representing strong preference for
images without CF compensation and +2 representing strong preference for images
with CF compensation. The image quality under each criterion was compared using
the one-sided (right-tailed) Wilcoxon signed rank tests (α=0.05) (null hypothesis:
the images acquired without CF compensation perform better than, or equivalent
to, the images with CF compensation). Results
Figure 1 (left column) shows examples of images
acquired without CF compensation which demonstrates noticeable loss of signal,
image ghosting, and blurring of small structures such as the extravascular
space. These effects are found to be more prominent towards the superior end of
the brain (lower-left vs. upper-left). Performing real-time zeroth and
first-order concomitant field compensations effectively reduces these artifacts
(right column). Figure 2 summarizes the results of radiological evaluations of
all five criteria. The right-sided Wilcoxon signed rank tests show that image
quality in all categories is significantly improved after CF compensation (p<0.01
for all categories).Discussion
The C3T system with an high-performance gradient
is a promising platform, which offers improved imaging performance for various
applications including FSE/TSE. However, additional CFs due to the asymmetric
gradient design can degrade the diagnostic quality of acquired images. Strong
visual and statistical evidence support that the use of real-time CF compensation
significantly improves the image quality by increasing signal level, reducing
image ghosting, and improving small structure conspicuity and gray-to-white
matter contrast. We focused on a clinical 2D T2-weighted FSE protocol in this
comparison, since in our experience, the zeroth/first-order CF are not nearly as
problematic for T1-weighted FSE/TSE acquisitions, due to their shorter TE time
and less phase error accumulation along the echo train10. Conclusion
The compensation of the asymmetric gradient CF
of the zeroth/first-order significantly improves image quality of a clinical
FSE acquisition performed on an asymmetric, high-performance gradient system,
and is therefore essential to enable the full capabilities of this type of
system. Acknowledgements
This
work was supported by research grant: NIH R01EB010065 and U01EB024450-01.
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