Eun Soo Choi1 and Gary Glover2
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States
Synopsis
In BOLD
contrasts fMRI, the most commonly used sequences, gradient-echo and spin-echo,
have been challenged due to their limited spatial specificity or functional
sensitivity. As an alternative, an asymmetric spin-echo sequence was introduced,
yet, its characteristics in different conditions are still unclear. In this study, we performed simulations and in-vivo experiments to design the
optimal ASE pulse sequence that maximizes functional sensitivity while
preserving high spatial specificity. Purpose
In Blood
Oxygenation Level Dependent (BOLD) contrasts fMRI, the most commonly used
sequences, gradient echo (GRE) and spin echo (SE), have been challenged due to
their limited spatial specificity or functional sensitivity
1,2. As
an alternative, an asymmetric spin echo (ASE) sequence was introduced
3,4,
yet, its characteristics in different conditions are still unclear. In this study, we have performed simulations and
in-vivo experiments to design the
optimal ASE pulse sequence that maximizes functional sensitivity while
preserving high spatial specificity. The results indicate that ASE pulse
sequences can be effectively optimized by modulating T2- and T2'-weighting at
3.0 T and that the optimized ASE pulse sequence can provide enhanced functional
sensitivity over the conventional GRE and SE and efficiently improve tSNR and
functional activation particularly in regions with high susceptibility field
gradients (SFGs).
Methods
Pulse sequence Figure 1 illustrates the
ASE pulse sequence diagram with a spiral-out readout, showing transverse
magnetization, M(t), and BOLD contrast, B(t), in different time periods. Hahn-echo Time (TH) is defined as twice the
time between 90° excitation pulse and 180° refocusing pulse, and Echoshift as a time shifted away from TH. The three timing parameters, TE, TH, and Echoshift, determine the degree of T2
and T2' weighting associated as TE = TH + Echoshift.
Functional
Tasks 16 healthy subjects participated in this study. The sensory task
consists of visual and auditory stimulation alternating "on" and
"off" blocks every 15 seconds. Breath hold tasks consist of
repetitions of 20 seconds of normal breathing and 10 seconds of breath hold.
fMRI
Acquisition fMRI images were acquired on a 3.0 T GE whole-body scanner
with an 8-channel head coil using a conventional GRE sequence and the ASE
sequence with TR = 2000 ms, TE = 30 ms in the GRE and 65 ms in the ASE,
Echoshift = -50, -40, -30, -20, -10,
0, +10 ms, 128 temporal frames, and FOV = 240 × 240 mm. Variable density spiral
was applied to enhance the resolution of the matrix size 128×128 from the
actual matrix size 110 × 110, and a high-order shimming procedure was used to
reduce B0 inhomogeneity prior to the functional scans. Air-inflation
sponges were padded on both ears and forehead to inhibit major head motions.
fMRI
Data Analysis Functional images were analyzed using custom C and MatLab
routines aiming to find the correlation between a sinusoidal function and a
hemodynamic response depending on functional tasks in voxel-wise temporal
frames discarding the first 3 temporal frames. tSNR and t-score maps were
utilized for qualitative and quantitative assessment.
Results and Discussion
Optimizing ASE pulse
sequences
The ASE pulse sequences were optimized by manipulating the timing parameters, TE and Echoshift. Taking into account the dynamics of intrinsic properties
of tissue and blood vessels at 3.0 T, TE
can be lengthened to 65 ms or even longer in the ASE pulse sequence, so that the
ASE is highly sensitive in T2 weighting containing intra-vascular components. Moreover,
we have discovered that Echoshift has
to be negative (TE < TH). Although the BOLD contrasts at Echoshift = ± 10 ms are almost equal as marked
in Figure 2, the entire spiral-out readout windows are placed in a rephasing
state with negative Echoshift and in
a dephasing state with positive Echoshift
resulting in increase and decrease of M(t) and B(t). Therefore, the activation
maps in Figure 3 appear T2 and T2* weighted depending on the sign of Echoshift.
ASE BOLD contrast Figure 3 & 4 show qualitative and quantitative
features of ASE BOLD contrasts. The ASE with large T2' weighting (Echoshift < -30 ms) performs better
than or equivalent to GRE, and the ASE with small T2' weighting (Echoshift > -30 ms) performs better
than the SE (Echoshift = 0). In BH
tasks, however, the ASE is led by GRE in functional activation, indicating that large
vessels affect the broader regions. In SFGs regions, the ASE with negative Echoshift is remarkably advanced on GRE attaining
80% tSNR recovery and up to 5.1% functional activation.
Conclusion
The ASE pulse sequence can
be effectively optimized for BOLD fMRI study at 3.0 T in the range of Echoshift between -50ms and -30ms and achieve
improved functional sensitivity particularly in SFGs regions.
Acknowledgements
Funding is supplied by NIH 015891.References
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