A new technique, termed Echo Planar Time-resolved Imaging (EPTI), was developed to address EPI’s geometric distortion and blurring, and to provide temporal signal evolution information across the EPI readout window. Using a small number of EPTI-shots, a time-series of multi-contrast images can be created free of distortion and blurring (up to 100 T2- and T2*-weighted images). This should make EPTI useful for numerous applications. Here, we demonstrated EPTI in brain to provide i) rapid simultaneous quantitative mapping of T2, T2*, proton density and tissue phase, as well as ii) multi-echo and quantitative T2* fMRI.
Echo planar imaging (EPI)[1] is a popular fast MR acquisition technique, but suffers from a number of drawbacks including i) geometric distortion due to B0-inhomogeneity, ii) spatial blurring from T2/T2* decay, and iii) limited number of echoes in multi-echo imaging due to lengthy sequential readouts. These problems compromise EPI’s image quality in functional/diffusion/perfusion imaging, limit its application to anatomical imaging and preclude multi-echo EPI from common use for quantitative/multi-contrast imaging.
In this study, a new multi-shot EPI technique, termed Echo Planar Time-resolved Imaging (EPTI)[2], was developed to address these issues. This approach not only achieves distortion- and blurring-free imaging, it also provides up to 100 T2&T2*-weighted echo images across the EPI readout window, spaced at a time interval equal to EPI’s echo-spacing (~1ms). This should make it useful to numerous applications where high-SNR undistorted images or multiple-contrast images are desired. Here, we demonstrated EPTI for two in vivo brain applications: i) a combined gradient- and spin-echo EPTI for rapid quantitative mapping of T2, T2*, proton density, and susceptibility (1.1 mm in-plane resolution at 0.8 s/slice); and ii) a gradient-echo EPTI, for quantitative T2* whole-brain fMRI at 2×2×3 mm3 spatial and 3.3s temporal resolution.
To understand how EPTI works, a ky-t space of EPI signal is introduced in Fig.1. In conventional single-shot EPI (ss-EPI), the signal is acquired to fill a 45° diagonal line in the ky-t space, with T2/T2* decay and susceptibility-induced phase accumulating over time, leading to blurring and distortion in the final image. To correct for distortion, a pair of datasets with reversed phase-encoding can be acquired[3]. Such acquisition obtains two +/-45° diagonal lines in the ky-t space, with more information to estimate and correct for the susceptibility-induced distortion (Fig.1A). To obtain multiple-contrast images, multi-echo EPI methods[4,5] can be used as shown in Fig.1B, but suffer from limited number of echoes as well as image distortions and blurring.
If the ky-t space is fully sampled, distortion- and blurring-free images with different contrasts can be obtained at different echo times with a time interval of an echo-spacing. Such full ky-t coverage is however extremely encoding intensive, and EPTI aims to achieve this by using only a small number of EPTI-shots with a new highly-accelerated spatio-temporal CAIPI sampling strategy. As shown in Fig.1C, each EPTI shot covers a segment of the ky-t space using a zig-zag trajectory that contains multiple diagonal ky line-sections. The temporally adjacent ky line-sections are interleaved with complementary PE sampling. This trajectory ensures that neighboring ky-points within each EPTI shot are acquired only a few milliseconds apart, and contain small B0-inhomogeneity-induced phase and T2* decay that can be well estimated by our B0-inhomogeneity-informed parallel imaging reconstruction[2,6]. Compact kernels are used in the reconstruction to interpolate under-sampled ky-t space to fully-sampled ky-t by exploring signal correlation across time and coil dimensions. With this ky-t encoding view, EPTI readouts can be applied continuously within the sequence (Fig. 1C bottom) to fill any dead time, leading to high acquisition and SNR efficiency.
To further accelerate EPTI, simultaneous multi-slice (SMS)[7,8] was incorporated using an optimized ky-kz-t CAIPI trajectory. To provide robustness to shot-to-shot B0-variations, a navigation-free B0-variation estimation and correction method was also developed[2].
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