The presentation provides a summary of echo planar imaging (EPI) acquisition techniques with descriptions of methods used to shorten the acquisition interval to improve imaging performance ( resolution, SNR, distortion, and/or coverage)
Both the readout and phase-encoding gradients use an initial dephasing pulse to travel to a corner of k-space. After that point, signal acquisition begins as the readout gradient oscillates in a somewhat similar fashion to a RARE sequence. Blips, as shown in Fig. 1A, move the EPI trajectory up one line at time after each readout traversal. Data acquired during the blips is rarely used in the reconstruction, allowing a reconstruction method based on a Cartesian trajectory to be utilized. The blips can be replaced with a small constant Gy gradient, which causes a zig-zag k-space trajectory. As the acquisition points do not naturally fall on a Cartesian grid with this trajectory, a gridding reconstruction or more advance non-Cartesian reconstruction is necessary.
Initially, the rapid switching of the readout gradient in EPI acquisitions was realistically achievable only on relatively unique research scanners with advanced gradient hardware. Today’s gradient technology has progressed to the point that EPI scans are commonplace on most high-field scanners. As peripheral nerve stimulation is always a limitation in human MRI, localized gradient sets still offer the opportunity for higher EPI performance, especially where the geometry of the body supports shorter gradients, like in the head. Phase errors due to system instabilities and chemical shift are somewhat benignly mapped into k-space using spin-warp imaging and so spin-warp imaging is more robust to artifacts than EPI. The back and forth oscillation of the readout gradient in EPI maps phase errors due to system delays and off-resonant signals into more problematic reconstruction issues. Because of this, EPI sequences almost always use lipid suppression from a chemical pre-saturation pulse, spectral spatial pulse, or water-only selective excitation. A thorough description of image reconstruction and related artifact suppression methodologies is provided in the next lecture in this session.
Shortening the Echo Train Length to Improve Performance
Single-shot vs Mult-shot EPI: As in any gradient-recalled imaging technique acquiring multiple lines of k-space per TR, the signal modulation and signal loss due to T2* ultimately limits SNR, the feasible length of the echo train, and ultimately resolution. One can obtain benefits from a shortened echo train by doing a partial k-space acquisition in the phase-encoding direction. Efforts to shorten the echo train length through faster readout oscillation have the deleterious effect of limiting the period of data acquisition per image, thus lowering SNR. One can also utilize the time during the gradient ramps to shorten the echo spacing. An excellent review of methods for increasing performance is provided here [6] A clever way to effectively limit the echo train length uses in-plane parallel imaging. Instead of having to acquire all phase-encoding lines, parallel imaging allows a reduced number to be acquired. The reconstruction algorithm unwinds the spatial aliasing while the parallel imaging reduction factor reduces the echo train length by an equivalent amount. Like all in-plane parallel imaging methods, a reduction in SNR by the square root of the reduction factor R is suffered. Dividing the EPI sequence into multiple shots with interleaved EPI trajectories effectively shortens the echo train for a given resolution by the number of shots. Usually each echo train in each slot is slightly offset in time from each other to create a smoother mapping of phase errors across k-space. In general, functional imaging methods such as fMRI and diffusion-weighted imaging are quite sensitive to bulk motion between shots, which can be caused by common-place factors such as respiration and cardiac pulsatility. Navigator-based echoes are often acquired in multi-shot EPI acquisitions to provide a of bulk motion for correction in diffusion-weighted EPI sequences [7]. However, fMRI and diffusion studies in the brain continue to be predominantly single-shot sequences. Circular EPI: The echo train length can also be reduced by altering the length of each readout period to sample a circular region rather than a rectangular region [8]. GRASE: The strength of EPI sequence can be combined with the strength of RARE sequences in a method known as GRASE. In GRASE, mini-EPI readout trains are acquired about each RARE spin echo.[9].
Performance Improvement with Simultaneous Multi-slice Imaging
EPI continues to be the workhorse of brain imaging methods centered on the BOLD effect or diffusion-weighting. In general, preparing the spins to be sensitive to BOLD or diffusion and then imaging only a single slice is inefficient. The field of simultaneous multi-slice imaging has created several combination of multi-slice excitation and parallel imaging in the through-plane to accelerate EPI acquisition speed by factors of up to 10. Various methodologies are described in this review article [10].[1] P. Mansfield, "Multi-planar image formation using NMR spin echoes," J. Phys. C., vol. 10, pp. L55-58, 1977.
[2] M. S. Cohen and F. Schmitt, "Echo planar imaging before and after fMRI: a personal history," Neuroimage, vol. 62, pp. 652-9, Aug 15 2012.
[3] M. A. Bernstein, K. F. King, and Z. J. Zhou, Handbook of MRI Sequences: Elseveir Academic Press, 2004.
[4] J. L. Duerk, O. P. Simonetti, G. C. Hurst, and D. A. Finelli, "Experimental confirmation of phase encoding of instantaneous derivatives of position," Magn Reson Med, vol. 32, pp. 77-87, Jul 1994.
[5] A. W. Song, E. C. Wong, and J. S. Hyde, "Echo-volume imaging," Magn Reson Med, vol. 32, pp. 668-71, Nov 1994.
[6] J. Tsao, "Ultrafast imaging: principles, pitfalls, solutions, and applications," J Magn Reson Imaging, vol. 32, pp. 252-66, Aug 2010.
[7] D. G. Norris, "Implications of bulk motion for diffusion-weighted imaging experiments: effects, mechanisms, and solutions," J Magn Reson Imaging, vol. 13, pp. 486-95, Apr 2001.
[8] A. B. Kerr, J. M. Pauly, B. S. Hu, K. C. Li, C. J. Hardy, C. H. Meyer, et al., "Real-time interactive MRI on a conventional scanner," Magn Reson Med, vol. 38, pp. 355-67, Sep 1997.
[9] K. Oshio and D. A. Feinberg, "GRASE (Gradient- and spin-echo) imaging: a novel fast MRI technique," Magn Reson Med, vol. 20, pp. 344-9, Aug 1991.
[10] D. A. Feinberg and K. Setsompop, "Ultra-fast MRI of the human brain with simultaneous multi-slice imaging," J Magn Reson, vol. 229, pp. 90-100, Apr 2013.