zhongliang zu1, Fatemeh Adelnia1, Kevin D Harkins1, Feng Wang1, and John C Gore1
1Vanderbilt University Medical Center, Nashville, TN, United States
Synopsis
Previous research has shown that spin-lock
imaging with low locking amplitude can quantify the spatial characteristics of
intrinsic susceptibility gradients in tissues which likely reflect vascular
microstructure. We evaluated the capability of spin-lock dispersion imaging
with weak locking fields to detect vasoconstriction in rat brains under oxygen
challenges.
PURPOSE
It has previously been shown that spin-lock sequences with low locking
amplitudes (ω1) can reduce the losses caused by diffusion in regions
containing susceptibility inhomogeneities. Judicious selection of locking
powers and combinations of data acquired with different ω1 can
isolate susceptibility effects from other influences on signal losses, and may
be used to quantify the spatial frequencies of intrinsic susceptibility
gradients. In tissues these are likely dominated by microvasculature 1-3.
Breathing oxygen causes vasoconstriction in the brain, and detection of the
effects of breathing gas challenges may be useful for assessing cerebrovascular
integrity. Previously, vessel size imaging by MRI has been based on comparing gradient-echo
(GE) and spin-echo (SE) signals after injection of a paramagnetic contrast
agent 4, 5. We
evaluated the capability of spin-lock imaging with low locking amplitudes to
detect changes of vessel diameter caused by breathing oxygen.METHODS
Spin-lock experiments were performed on a 4.7T
Varian animal system. A spin-lock preparation cluster (90x-τy/2-180y-τ-y/2-90x) was applied before single-shot spin-echo EPI readouts. R1𝞀 values were obtained by acquiring images with spin-lock
times (SLT) varying as 1, 5, 10, 15, 20, 25, 50, 75, 100 ms. Values of R1𝞀 were obtained by fitting the spin-locking signal
(S) with a mono-exponential function S/S0 = exp(-R1𝞀﹒SLT), in which S0 is the signal measured
with SLT of 0 ms. R1𝞀 values at
different fields (= R1𝞀 dispersion)
were obtained by varying ω1 from 0 Hz to 10 kHz. All
images were acquired with matrix size 64 × 64, FOV = 30 ×30 mm, and a
single-slice scan with slice
thickness of 2 mm.
All animal
procedures were approved by the local Animal Care and Usage
Committee. All
rats were immobilized and anesthetized with 2-3% isoflurane (ISO) and lab air
before MR imaging. Four healthy rats with first intake of air and then
97-98% O2 were scanned. Respiration rate
was monitored to be in a range from 40 to 70 breaths per minute. Rectal
temperature was maintained at 37°C using a warm-air feedback system.
When ω1
is weak errors in the quantification of R1𝞀 arise because of B0 variations that
introduce off-resonance effects. Previously, we
have described a data correction which can reduce this error when the B0
shift is not too large 6. To use
this correction, B0 and B1 maps were measured. B0 maps were obtained from two images acquired with a GE sequence
with TEs of 5 ms and 8 ms, TR of 30 ms, and flip angle of 20º. B1 maps were obtained by a double-angle approach using
two images acquired with a GE sequence with excitation flip angles of 60º and
120º, TR of 2 s, and TE of 10 ms.
R1ρ in biological tissues can be expressed as the
superposition of R1ρDiff, R1ρEx,
and R2a 1, 2,
$$ R_{1ρ}=R_{1ρ}^{Diff}+R_{1ρ}^{Ex}+R_{2a} $$
(1)
where R1ρDiff and R1ρEx are the relaxation rates due to water diffusion through susceptibility
gradients and chemical exchange effects, respectively. R2a is the
intrinsic transverse relaxation rate. The contribution to R1ρDiff from water with self-diffusion coefficient D is
given by 1-3
$$ R_{1ρ}^{Diff}=γ^2 g^2 D/((q^2 D)^2+ω_1^2 ) $$
(2)
where q represents an effective spatial
frequency that characterizes the scale of the inhomogeneities, and g is the
mean gradient strength. R, the scale
of the inhomogeneities producing the gradients, can then be estimated as ≈ π/q.
R1ρEx + R2a can be regarded as constant (c) over a range of low ω1, so q in biological tissues can be obtained by using Equations
1 and 2. Here, q values were obtained by fitting R1𝞀 acquired with ω1 of 0, 56, 100, 177,
and 316 Hz so any dispersion is mainly due to diffusion effects.
Maps of R1𝞀 and R were calculated voxel-wise but voxels with B0 shift
> 20 Hz were omitted. Similarly, voxels indicating R values > 15 µm were
also omitted as they corresponded to low SNR.RESULTS
Fig. 1a shows the average of the corrected R1𝞀 dispersions acquired with intake of air and O2, respectively.
Note that R1𝞀 values with low ω1, but
not high ω1, decrease after the intake of O2, suggesting that the oxygen challenge changes the intrinsic
susceptibility but not chemical exchange or intrinsic transverse relaxation. Fig.
1b and 1c show
the corrected R1𝞀 maps with ω1 of 100 Hz acquired with intake of air and O2, respectively, from a
representative rat brain. Fig. 2 shows the statistical
analysis of R values from the whole brain acquired with
intake of air and O2, respectively. Note that R values significantly
decrease after the intake of O2. R values with intake of air and O2
were estimated to be 6.6 ± 0.9 µm and 5.1 ± 1.3 µm, respectively (assuming
D = 2×10-5 cm2s-1), which are roughly in agreement with a previous report 5.DISCUSSION AND CONCLUSION
Spin-lock dispersion imaging with
low locking amplitudes and appropriate data corrections may be an alternative method
for vessel size imaging and does not require contrast agent.Acknowledgements
The authors acknowledge grant support from NIH (R01 EB024525)References
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