Journal Article DKFZ-2019-01333

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4D flow imaging with 2D-selective excitation.

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2019
Wiley-Liss New York, NY [u.a.]

Magnetic resonance in medicine 82(3), 886-900 () [10.1002/mrm.27769]
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Abstract: 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.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.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 Δ v ¯ = 0.8 ± 5.3 cm/s between the smaller reduced FOV and the reference scan was similar to the inter-scan variability of Δ v ¯ = - 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.A reduced field-of-excitation allows to limit the FOV and therefore shorten 4D flow acquisition times while preserving successful velocity quantification.

Classification:

Note: 82(3):886-900.

Contributing Institute(s):
  1. Medizinische Physik in der Radiologie (E020)
Research Program(s):
  1. 315 - Imaging and radiooncology (POF3-315) (POF3-315)

Appears in the scientific report 2019
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Medline ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2019-05-28, last modified 2024-02-29



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