In this study, multislice and multidimensional fetal blood flow mapping was performed using highly undersampled radial phase contrast MRI. The goal of this work was to visualize intracardiac flow in human fetuses with congenital heart disease, where complex flow patterns are difficult to capture with conventional, 2D phase contrast techniques. Reconstructions were performed using compressed sensing, with retrospective motion correction and image-based cardiac gating. The developed technique allowed whole fetal heart coverage in reasonable time and provides insight into multi-directional intracardiac flows. We present results from 5 human fetuses with congenital heart disease and demonstrate the first multi-directional intracardiac flows obtained by MRI.
Acquisition: All scans were performed as part of an ethically approved study, and informed, written consent was obtained from all participants who were referred to MR after CHD was diagnosed through echocardiography. A previously described PCMR sequence with golden-angle radial trajectory and multidimensional velocity encoding [5] was used to acquire data in third trimester pregnancies (32-36 weeks) with fetal CHD. A summary of study participants (gestational age, CHD diagnosis) is provided in Table 1.
Imaging was performed using a 1.5T MRI system (MAGNETOM AvantoFIT, Siemens Healthcare, Erlangen, Germany) and acquisition parameters included: total spokes=1600 (across all flow encodes), field-of-view=256x256mm2, resolution=1x1x4mm3, TR=5.5ms, scan time=8.8s/slice, VENC=80cm/s. 10-13 slices were used to cover the fetal heart, yielding scan times of 1.4-1.9min. Initial reconstructions were performed online, generating time-averaged anatomical and multidimensional flow images to confirm slice prescriptions and plan subsequent scans.
Reconstruction (offline): First, real-time images were reconstructed for motion compensation using a 64-spoke sliding window (Figure 1A). Reconstruction was performed using CS with spatial total variation (STV) and temporal total variation (TTV) constraints, with λ=0.05 and 0.025, respectively. Through plane motion in each slice was rejected automatically from the pipeline using outlier rejection (mutual information), while in-plane translational motion was corrected by rigid image registration.
Next, for cardiac gating, the motion-corrected data were reconstructed to create another real-time series but at higher temporal resolution (8-spoke sliding window), using the same CS algorithm (Figure 1B). Metric optimised gating was performed by minimizing the spatiotemporal entropy over a region encompassing the fetal heart.
Finally, CINE reconstructions using the retrospectively gated and motion-corrected data were performed using CS with STV, TTV and complex difference constraints, with λ=0.05, 0.05 and 0.025 respectively and view sharing over one half cardiac bin (Figure 1C, 1D).
Velocity and magnitude images across all subjects and slices were evaluated by visual inspection. Additionally, in one subject, a 4D flow vector visualization was generated (Siemens 4D Flow) [6], following spatial (mutual information) and temporal (entropy) registration of the acquired slices.
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4. Goolaub, D.S., Roy, C., Schrauben, E., Sussman, D., Marini, D., Seed, M., Macgowan, C. Multidimensional Fetal Flow Imaging with MRI: A Feasibility Study. JCMR. (In press)
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