Simultaneous-multislice (SMS) has significantly improved fMRI acquisition due to its increase in SNR efficiency. However, SMS requires parallel-imaging in the slice-direction, which may be inapplicable due to the scarcity of receiver-coils with adequate sensitivity in the slice-direction. Hence, we propose the POMP-EPI method, which accelerates fMRI acquisition without using parallel-imaging. POMP-EPI works by using Gz-gradient blips in an EPI sequence to shift each of the simultaneously excited slices into different regions of an extended FOV, such that no aliasing occurs, resulting in simple reconstruction of images, shorter TRs, and increased SNR efficiency.
Before parallel-imaging, techniques using phased-multiband RF pulses to simultaneously excite multiple slices, such as POMP1 and Hadamard-encoded excitation2, have shown to increase SNR by a factor of √Nslices, where Nslices is the number of simultaneously-excited slices. However, this increase in SNR comes at a cost of additional RF excitations. Specifically, the idea for POMP is to excite multiple slices such that each slice has a unique phase-gradient in k-space, and is thus shifted to a different region of the (extended) FOV in image space due to the Fourier shift-theorem. Recent developments in parallel-imaging led to the rise of SMS, which uses differences in coil sensitivities in the z-direction to unalias the overlapping slices via methods such as GRAPPA3 or SENSE4. This leads to an SNR efficiency improvement of √(Nslices/g), where g is the geometry-factor. Hence the SNR improvement is highly dependent on the geometries and sensitivities of the coil array. Previous studies such as MS-CAIPI5 and blipped-CAIPI6, have shown that controlled-aliasing of the slices mitigates the g-factor penalty in parallel-imaging.
To increase SNR efficiency without parallel-imaging, our proposed method POMP-EPI uses an EPI-trajectory for its fast imaging speed, while extending the FOV in the phase-encode direction and using gradient-blips in the slice-direction similar to those in blipped-CAIPI (concurrently with phase-encode blips) to impose unique phase-gradients in k-space for each slice. Extending the FOV while maintaining the resolution requires additional phase-encodes, leading to a longer readout, but due to the oblong shape of the brain, the readout only needs to be doubled in order for three slices to fit (Fig2). This allows the TR in fMRI to be shortened in the absence of parallel imaging.
The POMP-EPI sequence was programmed in EPIC and tested on a 3T-GE-Discovery MR-750 scanner. The RF pulse, a modulated-windowed-sinc, excites three slices spaced 40mm apart (Fig3a), so only 10 excitations are required per TR to acquire 30 brain slices. Matrix-size/TE/TR/flip-angle/FOVX/FOVY/slice-thickness/BW = 60x120/45ms/1000ms/62°/22cm/44cm/4mm/125kHz was used. For comparison, a conventional EPI sequence with matrix-size/TE/TR/flip-angle/FOVx/FOVY/slice-thickness/BW = 60x60/30ms/1800ms/75°/22cm/22cm/4mm/125kHz was acquired. Minimum TR and the Ernst-angle were chosen to optimize acquisition efficiency under the same scan time.
Two fMRI experiments using a sensory task were performed to validate our theory. A block-trial paradigm of length 256s (Fig3b) with a contrast-reversing checkerboard visual stimulus was used. Under the same scan time, 256 times frames (256s/1s) were acquired for POMP-EPI, while only 143 time frames (256s/1.8s) fit in the EPI scan.
Phase-correction was applied using the reference scans (acquired prior to the fMRI scans) to remove Nyquist-ghosts. Additional phase (linear along phase-encoding direction) was applied to raw POMP-EPI data to correct for slices not at isocenter. GLM analysis was performed in MATLAB to generate t-score maps for fMRI activation (Fig4), in which the task regressor was the block design convolved with the hemodynamic response function and the nuisance regressors were polynomials up to order 2.
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