Respiration-induced B0 fluctuations are significantly greater in the cervical spinal cord than in the brain at 7T, increasing k-space phase inconsistencies and necessitating a separate evaluation of autocalibration scan (ACS) methods for accelerated EPI. We tested four ACS methods (single-shot EPI, segmented EPI, FLEET, and GRE) under three physiological conditions (end-expiration breath-hold, free-breathing, and intentional swallowing). GRE and single-shot EPI ACS methods, which are robust to respiration-induced phase errors between k-space segments, produce images with fewer and less severe artifacts than either FLEET or conventionally segmented EPI ACS methods for accelerated EPI of the cervical spinal cord at 7T.
Temporal mean images and tSNR maps of data acquired using the various ACS methods and under the various physiological conditions are shown in Figure 2-4. GRE and single-shot EPI ACS consistently produce images free from significant artifacts; tSNR is significantly greater for GRE ACS, particularly in lower slices where through-slice dephasing is most severe. Temporal SNR is plotted slicewise in Figure 5, and is tabulated in Figure 5h. GRE ACS yields the highest average tSNR=11.19 across all experiments, while single-shot EPI ACS yields the second lowest average tSNR=8.62.
Segmented EPI and FLEET ACS produce images with moderate tSNR (8.42 and 9.73, respectively), but severe artifacts in lower slices obliterate the anatomical detail of the spinal cord. These artifacts vary among physiological conditions under segmented EPI ACS, but are consistent under FLEET ACS.
Intentional swallowing during timeseries acquisition decreased tSNR for all ACS methods.
In the cervical spinal cord, especially in lower vertebral levels, respiration-induced field shifts are a far more prominent source of image artifacts than motion. Respiration generally produces B0 fluctuations exceeding 100Hz at 7T [4] continuously throughout acquisition of ACS data, and these fluctuations occur on a similar time-scale to TR. Therefore, unlike in whole brain fMRI [2], where motion is the primary concern, severely disruptive phase errors between segments are approximately as likely in FLEET ACS as in conventionally segmented EPI ACS for cervical spinal cord fMRI; these two methods exhibit nearly identical patterns of image artifacts (Figures 2-4). The detrimental effect of these phase errors is illustrated by the fact that image artifacts are more visually apparent in images reconstructed using two 24-line segments of ACS data (segmented EPI and FLEET) than a single 24-line segment (single-shot EPI).
GRE and single-shot EPI ACS acquisition methods, on the other hand, appear largely free of image artifacts. This suggests that incoherence of phase errors across acquisition of many spin-warp GRE ACS k-space lines (with minimum TE) produces far less detrimental effects on images than phase errors of a similar magnitude but across a smaller number of shots as in segmented EPI and FLEET ACS. Although tSNR in segmented EPI and FLEET ACS exceeds that of single-shot EPI ACS, much of the image signal in segmented EPI and FLEET arises from artifacts rather than the spinal cord, confounding the tSNR measurements.
GRE ACS produces images qualitatively similar to those reconstructed using single-shot EPI ACS, with the least sensitivity to intentional swallowing during timeseries acquisition, and with the highest tSNR, particularly in lower slices where through-slice B0 gradients are strongest.
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