Focused navigation for respiratory–motion-corrected free-running radial 4D flow MRI
Mariana B. L. Falcão, Giulia M. C. Rossi, Tobias Rutz, Milan Prša, Estelle Tenisch, Liliana Ma, Elizabeth K. Weiss, Justin J. Baraboo, Jérôme Yerly, Michael Markl, Matthias Stuber, Christopher W. Roy
Abstract
Purpose
To validate a respiratory motion correction method called focused navigation (fNAV) for free-running radial whole-heart 4D flow MRI.
Methods
Using fNAV, respiratory signals derived from radial readouts are converted into three orthogonal displacements, which are then used to correct respiratory motion in 4D flow datasets. Hundred 4D flow acquisitions were simulated with non-rigid respiratory motion and used for validation. The difference between generated and fNAV displacement coefficients was calculated. Vessel area and flow measurements from 4D flow reconstructions with (fNAV) and without (uncorrected) motion correction were compared to the motion-free ground-truth. In 25 patients, the same measurements were compared between fNAV 4D flow, 2D flow, navigator-gated Cartesian 4D flow, and uncorrected 4D flow datasets.
Results
For simulated data, the average difference between generated and fNAV displacement coefficients was 0.04 ± 0.32 mm and 0.31 ± 0.35 mm in the x and y directions, respectively. In the z direction, this difference was region-dependent (0.02 ± 0.51 mm up to 5.85 ± 3.41 mm). For all measurements (vessel area, net volume, and peak flow), the average difference from ground truth was higher for uncorrected 4D flow datasets (0.32 ± 0.11 cm2, 11.1 ± 3.5 mL, and 22.3 ± 6.0 mL/s) than for fNAV 4D flow datasets (0.10 ± 0.03 cm2, 2.6 ± 0.7 mL, and 5.1 ±0.9 mL/s, p < 0.05). In vivo, average vessel area measurements were 4.92 ± 2.95 cm2, 5.06 ± 2.64 cm2, 4.87 ± 2.57 cm2, 4.87 ± 2.69 cm2, for 2D flow and fNAV, navigator-gated and uncorrected 4D flow datasets, respectively. In the ascending aorta, all 4D flow datasets except for the fNAV reconstruction had significantly different vessel area measurements from 2D flow. Overall, 2D flow datasets demonstrated the strongest correlation to fNAV 4D flow for both net volume (r 2 = 0.92) and peak flow (r 2 = 0.94), followed by navigator-gated 4D flow (r 2 = 0.83 and r 2 = 0.86, respectively), and uncorrected 4D flow (r 2 = 0.69 and r 2 = 0.86, respectively).
Conclusion
fNAV corrected respiratory motion in vitro and in vivo, resulting in fNAV 4D flow measurements that are comparable to those derived from 2D flow and navigator-gated Cartesian 4D flow datasets, with improvements over those from uncorrected 4D flow.