4.5 Article

Aortic 4D flow MRI in 2 minutes using compressed sensing, respiratory controlled adaptive k-space reordering, and inline reconstruction

Journal

MAGNETIC RESONANCE IN MEDICINE
Volume 81, Issue 6, Pages 3675-3690

Publisher

WILEY
DOI: 10.1002/mrm.27684

Keywords

4D flow; aorta; cardiovascular; compressed sensing

Funding

  1. National Heart, Lung, and Blood Institute of the NIH [F30HL137279, R01HL115828, R01HL133504, K25HL119608]
  2. National Institute of Neurological Disorders and Stroke (NIH) [1R21NS106696]
  3. American Heart Association [16SDG30420005]

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Purpose: To evaluate the accuracy and feasibility of a free-breathing 4D flow technique using compressed sensing (CS), where 4D flow imaging of the thoracic aorta is performed in 2 min with inline image reconstruction on the MRI scanner in less than 5 min. Methods: The 10 in vitro 4D flow MRI scans were performed with different acceleration rates on a pulsatile flow phantom (9 CS acceleration factors [R = 5.4-14.1], 1 generalized autocalibrating partially parallel acquisition [GRAPPA] R = 2). Based on in vitro results, CS-accelerated 4D flow of the thoracic aorta was acquired in 20 healthy volunteers (38.3 +/- 15.2 years old) and 11 patients with aortic disease (61.3 +/- 15.1 years) with R = 7.7. A conventional 4D flow scan was acquired with matched spatial coverage and temporal resolution. Results: CS depicted similar hemodynamics to conventional 4D flow in vitro, and in vivo, with >70% reduction in scan time (volunteers: 1:52 +/- 0:25 versus 7:25 +/- 2:35 min). Net flow values were within 3.5% in healthy volunteers, and voxel-by-voxel comparison demonstrated good agreement. CS significantly underestimated peak velocities (v(max)) and peak flow (Q(max)) in both volunteers and patients (volunteers: v(max), -16.2% to -9.4%, Q(max): -11.6% to -2.9%, patients: v(max), -11.2% to -4.0%; Q(max), -10.2% to -5.8%). Conclusion: Aortic 4D flow with CS is feasible in a two minute scan with less than 5 min for inline reconstruction. While net flow agreement was excellent, CS with R = 7.7 produced underestimation of Q(max) and v(max); however, these were generally within 13% of conventional 4D flow-derived values. This approach allows 4D flow to be feasible in clinical practice for comprehensive assessment of hemodynamics.

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