Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
Automatic flow planning for fetal cardiovascular magnetic resonance imaging.
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Silva Sara Neves, Woodgate Tomas, McElroy Sarah, Cleri Michela, Clair Kamilah St, Verdera Jordina Aviles, Payette Kelly, Uus Alena, Story Lisa, Lloyd David, Rutherford Mary A, Hajnal Joseph V, Pushparajah Kuberan, Hutter Jana
Аннотация
BACKGROUND: Widening access to fetal flow imaging by automating real-time planning of two-dimensional (2D) phase-contrast flow imaging (OWL).
METHODS: Two subsequent deep learning networks for fetal body localization and cardiac landmark detection on a coronal whole-uterus scan were trained on 167 and 71 fetal datasets, respectively, and implemented for real-time automatic planning of phase-contrast sequences. OWL was evaluated retrospectively in ten datasets and prospectively in seven fetal subjects (36+3-39+3 gestational weeks), with qualitative and quantitative comparisons to manual planning.
RESULTS: OWL was successfully implemented in 6/7 prospective cases. Fetal body localization achieved a Dice score of 0.94±0.05, and cardiac landmark detection accuracies were 5.77±2.91 mm (descending aorta), 4.32±2.44 mm (spine), and 4.94±3.82 mm (umbilical vein). Planning quality was 2.73/4 (automatic) and 3.0/4 (manual). Indexed flow measurements differed by -1.8% (range -14.2% to 14.9%) between OWL and manual planning.
CONCLUSION: OWL achieved real-time automated planning of 2D phase-contrast cardiovascular magnetic resonance (CMR) for two major vessels, demonstrating feasibility at 0.55T with potential generalization across field strengths, extending access to this modality beyond specialized centers.
METHODS: Two subsequent deep learning networks for fetal body localization and cardiac landmark detection on a coronal whole-uterus scan were trained on 167 and 71 fetal datasets, respectively, and implemented for real-time automatic planning of phase-contrast sequences. OWL was evaluated retrospectively in ten datasets and prospectively in seven fetal subjects (36+3-39+3 gestational weeks), with qualitative and quantitative comparisons to manual planning.
RESULTS: OWL was successfully implemented in 6/7 prospective cases. Fetal body localization achieved a Dice score of 0.94±0.05, and cardiac landmark detection accuracies were 5.77±2.91 mm (descending aorta), 4.32±2.44 mm (spine), and 4.94±3.82 mm (umbilical vein). Planning quality was 2.73/4 (automatic) and 3.0/4 (manual). Indexed flow measurements differed by -1.8% (range -14.2% to 14.9%) between OWL and manual planning.
CONCLUSION: OWL achieved real-time automated planning of 2D phase-contrast cardiovascular magnetic resonance (CMR) for two major vessels, demonstrating feasibility at 0.55T with potential generalization across field strengths, extending access to this modality beyond specialized centers.