Synopsis
Averaged-BOSS fMRI has been proposed as an alternative to
BOSS fMRI to eliminate its spatial coverage problem. The feasibility of A-BOSS
has been previously investigated. Due to the complexity presented in A-BOSS
fMRI, in this work a Monte Carlo simulation has been performed for a
comprehensive investigation on its achievable functional contrast and to
compare the results with S1 and S2 SSFP fMRI. The obtained results show the
superior absolute signal change for A-BOSS and demonstrate the desirable
acquisition parameters. Introduction:
BOSS fMRI has been proposed as an alternative to GRE BOLD to
alleviate its limitations
1. Nevertheless, it needs careful
shimming and provides limited spatial coverage. Averaged-BOSS (A-BOSS) has been
suggested to eliminate the spatial coverage problem of BOSS fMRI while
utilizing its advantages by compressing the SSFP profile into the size of each
voxel by adding an exact 2π
extra dephasing in each TR (shown
in Figure 1)
2. A-BOSS can provide images free of
banding artifacts with low susceptibility distortions. The feasibility of this
method for functional imaging has already been shown
2. Here we present a Monte Carlo
simulation to investigate the A-BOSS functional contrast and its relevance with
the reported values. We further compare the A-BOSS contrast with S1 and S2 SSFP
fMRI.
Methods:
Here the vessels were considered as infinite cylinders with random
orientations. Diameter and distribution of these vessels were obtained from the
model in Piechnik et al.3 with a blood volume fraction of 2
%. Susceptibility values for active (Yact=0.75) and resting (Yrest=0.67)
states 4 were obtained from Spees et al.5. Assuming the B0=3 T,
field inhomogeneity felt by each spin was evaluated from 6 :
$$\triangle\bf B(r\geq R)=2\pi \gamma Hct \triangle\chi B_0 (1-Y) (R/r)^2 cos2\phi sin^2\theta$$
$$\triangle\bf B(r < R)=(2\pi/3) \gamma Hct \triangle\chi B_0 (1-Y) (3cos^2\theta-1)$$
Where Hct is hematocrit level (Hct=0.4), Δχ
is the susceptibility difference between active
and resting states. Y is the oxygenation level, R is the
cylinder radius, r is the distance between the spin and central axis of
the cylinder, θ is the
angle between the cylinder axis and the main magnetic field and φ is the
angle between the plane indicated by cylinder axis and B0
direction with the vector r.
1000 spins capable of 3D Brownian random walk with d=0.001 mm2/s
were placed in the extravascular space (T1=1200 ms , T2=90
ms as in 4). To model the intravascular
contrast , in addition to field inhomogeneity, blood relaxation time also
changes as approximated in 7. The sequence was then applied to
all spins and complex intra and extra vascular signals were combined, after
getting weighted by their volume fractions, to obtain the total signal.
A-BOSS signal can be generated by a variety of pulse sequences.
Here we chose the double echo (DESS or FADE) sequence, shown in Figure 2, as it
can demonstrate the difference between A-BOSS and closely related non-balanced SSFP
signals, S1 and S2. To this end, the exact extra-dephasing value was first set
to 2π, as required by A-BOSS theory. The simulation was then repeated with
dephasing value increased to 4π, to completely destroy A-BOSS and generate distinct
S1 and S2 signals instead. In all cases, simulations have been performed for a
range of TRs (8-40 ms) and flip angles (5-30⁰).
Results:
Figure 3 shows the results of normalized absolute signal change for
A-BOSS, S1 and S2 SSFP fMRI (/M
0) for a range of TRs and FAs. These
results illustrate the superior absolute signal change for A-BOSS when it is
compared to each of S1 and S2, separately. It further shows the considerable
dependency of A-BOSS contrast to TR and flip angle values. The results for
A-BOSS absolute signal change if converted to relative functional signal, agree
well with experimental values of around 3-3.5% for TR=40 ms and 0.5-1% for
TR=10 ms
8, justifying the simulation results.
Discussion:
There are a couple of noteworthy observations with this method:
first the simulations show that S1 and S2 echoes appear in opposed phase while
A-BOSS signal is formed in between and has 90⁰ phase difference with each of these two signals. The other point
is about formation of A-BOSS from 2π extra-dephasing. For stronger dephasing
values we get two well-separated signals for S1 and S2. Decreasing this
extra-dephasing value, proportionally decreases the time difference between
these two echoes until we get close to 2π.
For 2π we get the A-BOSS echo with specific characteristics (phase and
functional contrast) which differentiate it from S1 and S2.
It also worth noting that the approximations for
intravascular relaxation changes are only a rough estimate and need to be
measured in vitro for these particular sequences for a more accurate simulation
(Similar to the work for Balanced-SSFP
9).
Conclusion:
The Monte Carlo simulation which has been presented here agrees
well with the reported experiments and demonstrates the desirable acquisition
parameters. These results show superior absolute functional signal change for
A-BOSS compared to other non-Balanced SSFP signals.
Acknowledgements
This work was funded in part by Iranian Cognitive Sciences and Technologies Council (CSTC).References
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