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4D flow imaging with 2D-selective excitation

Authors

  • C. Wink
  • G. Ferrazzi
  • J.P. Bassenge
  • S. Flassbeck
  • S. Schmidt
  • T. Schaeffter
  • S. Schmitter

Journal

  • Magnetic Resonance in Medicine

Citation

  • Magn Reson Med 82 (3): 886-900

Abstract

  • PURPOSE: 4D flow MRI permits to quantify non-invasively time-dependent velocity vector fields, but it demands long acquisition times. 2D-selective excitation allows to accelerate the acquisition by reducing the FOV in both phase encoding directions. In this study, we investigate 2D-selective excitation with reduced FOV imaging for fast 4D flow imaging while obtaining correct velocity quantification. METHODS: Two different 2D-selective excitation pulses were designed using spiral k-space trajectories. Further, their isophase time point was analyzed using simulations that considered both stationary and moving spins. On this basis, the 2D-selective RF pulses were implemented into a 4D flow sequence. A flow phantom study and seven 4D flow in vivo measurements were performed to assess the accuracy of velocity quantification by comparing the proposed technique to non-selective and conventional 1D slab-selective excitation. RESULTS: The isophase time point for spiral 2D-selective RF pulses was found to be located at the end of excitation for both stationary and moving spins. Based on that, 2D-selective excitation with reduced FOV allowed us to successfully quantify velocities both in a flow phantom and in vivo. In a flow phantom, the velocity difference Δv = (0.8 ± 5.3)cm/s between the smaller reduced FOV and the reference scan was similar to the inter-scan variability of Δv = (−1.0 ± 2.3)cm/s . In vivo, the differences in flow (P = 0.995) and flow volume (P = 0.469) between the larger reduced FOV and the reference scan were non-significant. By reducing the FOV by two-thirds, acquisition time was halved. CONCLUSION: A reduced field-of-excitation allows to limit the FOV and therefore shorten 4D flow acquisition times while preserving successful velocity quantification.


DOI

doi:10.1002/mrm.27769