Interleaved balanced SSFP imaging: Artifact reduction using gradient waveform grouping

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Abstract

Purpose: To analyze steady-state signal distortions in interleaved balanced steady-state free precession(bSSFP) caused by slightly unbalanced eddy-current fields and develop a general strategy for mitigating these artifacts. Materials and Methods: We considered bSSFP sequences in which two gradient waveforms are interleaved in a "groupwise" fashion, ie, each waveform is executed consecutively two or more times before switching to the other waveform(we let "N" count the number of times each waveform is executed consecutively). The steady-state signal profile over the bSSFP passband was calculated using numerical Bloch simulations and measured experimentally in a uniform phantom. The proposed "grouped" interleaved bSSFP strategy was applied to cardiac velocity mapping using interleaved phase-contrast imaging with N = 2 and N = 6 in one healthy volunteer. Results: Simulation and phantom measurements show that signal distortions are systematically reduced with increasing grouping number N. For most tissues, significant suppression was achieved with N = 4, and increasing N beyond this value produced only marginal gains. However, signal distortions for blood remain relatively high even for N > 4. In vivo cardiac velocity mapping using interleaved phase-contrast imaging with N = 6 demonstrated reduced image artifact levels compared to the N = 2 acquisition. Conclusion: Gradient waveform "grouping" offers a simple and general strategy for mitigating steady-state eddy-current distortions in bSSFP sequences that interleave two different gradients. Blood exhibits significant distortion even with "grouping," which is a major obstacle for cardiovascular bSSFP approaches that interleave multiple gradient waveforms. The grouping concept may also benefit applications that acquire images during the transient approach to steady state. © 2009 Wiley-Liss, Inc.

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Nielsen, J. F., & Nayak, K. S. (2009). Interleaved balanced SSFP imaging: Artifact reduction using gradient waveform grouping. Journal of Magnetic Resonance Imaging, 29(3), 745–750. https://doi.org/10.1002/jmri.21628

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