Yuki Kanazawa1, Masafumi Harada1, Mitsuharu Miyoshi2, Ikuho Kosaka3, Kotaro Baba3, Hiroaki Hayashi1, and Yuki Matsumoto4
1Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan, 2Global MR Applications and Workflow, GE Healthcare Japan, Hino, Japan, 3School of Health Sciences, Tokushima University, Tokushima, Japan, 4Graduate school of Health Science, Tokushima University, Tokushima, Japan
Synopsis
The purpose of this study is
to clarify the
relationship between APT and NOE effects derived from CPE fitting of the human
brain on a 3 T MR scanner. CEST imaging with different B1 values of the brain was performed in healthy subjects.
The mean NOE values of white matter at 0.5 µT were higher than all
regions (P < 0.05). CPE-spectrum
shows greater sensitivity for both APT and NOE peaks than conventional
Z-spectrum and MTRasym. It is found that NOE imaging on a 3.0 T scanner
is sensitive on low-B1
power regardless of the CEST fitting process.
Introduction
Chemical exchange saturation transfer (CEST) imaging
has been rapidly advancing for clinical applications. Among others, amide
proton transfer (APT) imaging has been reported to be used for tumor and acute
ischemia identifications in brain tissue. The nuclear Overhauser enhancement (NOE) effect is generally observed as the opposite-side of the APT
effect. In clinical applications, NOE has been generally observed in
ultra-high-magnetic MRI using more than 7 T.1 Although magnetization
transfer (MT) pulse with high-B1
power leads to high APT contrast, it tends to lose the NOE effect.2 Similar
signal change had been also observed in previous results using a 3 T MR scanner;
it had a broader peak on the opposite side of the Z-spectrum that approximately
spans the frequency range from -2.2 to -5.5 ppm.3 Some multi-pool
exchange models have been reported to be observed for APT and NOE. A three-extrapolated semisolid magnetization transfer
reference (EMR) method enables us to accurately calculate APT, NOE, and other
CEST signals in normal tissue, edema, and glioma using a 3 T MR scanner.4
Moreover, the CEST
peak extraction (CPE) fitting method also had a quantitative
result in a multi-pool exchange model, which includes the CEST pool, binding
water MT pool and free water pool5. From now while the concern with CEST imaging using 3 T
MR scanner has been growing, a more prescriptive approach will be needed to apply
to NOE imaging using a 3 T MR scanner.
Purpose
To
assess the relationship between APT and NOE effects in the human brain, we evaluated
the dependency of B1 power
on CEST imaging using a 3 T clinical scanner and CPE fitting method.Materals and Methods
On a
3.0 T magnetic resonance system (Discovery 750, GE Healthcare), CEST imaging of
the brain was performed on healthy subjects (five men; ages, 22-41 years; mean
age, 29.2 years). An CEST imaging dataset was acquired with echo planer imaging sequence and phase cycle radio frequency (RF) preparation; the frequency
offset range was from -7 to +7 ppm at intervals of 0.5 ppm, and a total of 29
data points were acquired. The mean B1
values of the MT pulses were set at 0.5, 1.0, and 1.5 µT. The other imaging
parameters were echo time, 23.3 ms; repetition time, 5000 ms; bandwidth, 3906
Hz/pixel; field of view, 22 cm; matrix size, 96 × 128; slice thickness, 8 mm. All
slice positions were set at three slices on center of the nucleus basalis level.
Acquired imaging data were applied to B0
correction for each pixel. MT ratio asymmetry (MTRasym) was
calculated as follows:
MTRasym =
MTR(+∆ω) - MTR(-∆ω) = (Isat
(-∆ω) - Isat (+∆ω)) / I0 ,
where Isat and I0 are the imaging signal intensities measured with MT
pulses at each frequency and at -10ppm frequency where no MT effect was
observed, and ∆ω is frequency offset. The CPE fitting method was performed on each
pixel 5; MTR, APT, and NOE values were derived from free water,
binding water, and CEST terms in the equation. Then, we set the
region-of-interest (ROI) analysis in CEST images with B0 corrected images; the ROIs were set as putamen,
pallidum and white matter of each subject. We evaluated Z- and CPE-spectrum, and
MTRasym for each subject.
Results and Discussion
Table
1 summarizes the measurement of mean APT (+3.5 ppm), NOE (-4.0 ppm), and MTRasym
(3.5 ppm) values in white matter, putamen and pallidum in healthy subjects at each
B1. Figure 1 shows representative
CEST images of each offset frequency from -5.0 to +5.0 ppm for each B1. Figure 2 shows conventional
APT (3.0-4.0 ppm) MTRasym image, MT, APT (3.0-4.0 ppm), and NOE images
derived from CPE fitting at B1
of 1.0 and 1.5 µT for a represented subject. Figure 3 shows Z- and CPE-
spectrum of a pixel set in the putamen at 1.0 µT and 1.5 µT for a represented
subject. The mean APT and NOE values of white matter were lower than
that of putamen (P < 0.001). CPE-spectrum
shows more sensitivity to both APT and NOE peaks than conventional Z-spectrum
and MTRasym. Moreover, although APT images derived from the CPE
fitting method were rarely different in B1
power, NOE images at 0.5 and 1.0 µT B1
obtained more clear contrast than 1.5 µT. Thus, this result proves clearly that
the NOE effect is more sensitive at low-B1
power.Conclusion
NOE imaging
derived from a CPE fitting method on a 3 T MR scanner makes it possible to
obtain more detailed information of the brain, e.g., mobile proteins, lipids,
and metabolites.Acknowledgements
No acknowledgement found.References
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