Real-time MRI-based fetal femur length measurement

Johannes Barcsay; Sara Neves Silva; Jordina Aviles Verdera; Charline Bradshaw; Mary Rutherford; Susanne Schulz-Heise; Jana Hutter

arXiv · 2510.16920

Real-time MRI-based fetal femur length measurement

Johannes Barcsay·Sara Neves Silva·Jordina Aviles Verdera·Charline Bradshaw·Mary Rutherford·Susanne Schulz-Heise·Jana Hutter

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Abstract

Purpose: To develop and evaluate a real-time method for automatic planning and measurement of fetal femur length - an important indicator of antenatal growth - during MRI. While routinely assessed by ultrasound, MRI-based femur length measurements remain challenging due to bone-slice misalignment, fetal motion, and the need for manual assessment. Methods: A low-latency 3D U-Net was trained on 59 scans acquired at 0.55T (gestational age 18-40 weeks) to localise the proximal and distal endpoints of the femur. These coordinates were employed to automatically adapt a 30-second EPI sequence for in-plane femur coverage in real-time. Retrospective evaluation was performed in 72 scans (19-39 weeks, including 19 pathological cases), and real-time testing in 24 cases (17-39 weeks). Automated results were compared with manual expert annotations and, in 57/72 cases, with matched clinical ultrasound measurements. Precision was evaluated against inter-observer variability and analysed across gestational age and maternal BMI. Furthermore, bilateral femur length consistency was evaluated. Results: Retrospective analysis demonstrated a mean endpoint localisation error of 5.5 mm and femur length deviation of 3.0 mm. Among the 49/72 cases with both femora automatically extracted, the left-right difference was 2.8+-2.7 mm. Precision was unaffected by maternal BMI (p>0.05), but correlated with gestational age (p<0.05). Real-time planning and assessment were successful in 22/24 cases, with a mean deviation of 4.2 mm. Conclusions: A real-time, automated method for MRI-based femur length measurement was developed, enabling precise, motion-robust, and operator-independent growth assessment, supporting future large-scale evaluation in growth-compromised pregnancies.

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Johannes Barcsay, Sara Neves Silva, Jordina Aviles Verdera, Charline Bradshaw, Mary Rutherford, Susanne Schulz-Heise, Jana Hutter. 2025-10-19. Real-time MRI-based fetal femur length measurement. https://arxiv.org/abs/2510.16920

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