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Updated: Aug 16, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Cross-Sectional Observational Study of Typical in utero Fetal Movements Using Machine Learning.

Lana Vasung¹, Junshen Xu², Esra Abaci-Turk¹

¹Department of Pediatrics, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.

Developmental Neuroscience

|December 20, 2022

Summary

This summary is machine-generated.

Machine learning quantified fetal limb movement using MRI, revealing maternal hyperoxia and fetal development impact movement duration. This offers a new biomarker for fetal health and neuromuscular development.

Keywords:

Fetal movement In utero fetal magnetic resonance imaging Maternal hyperoxia

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Area of Science:

Neuroscience
Medical Imaging
Biomedical Engineering

Background:

Fetal movements indicate central nervous system development.
Current methods lack automatic quantification of complex 3D fetal motion in utero.

Purpose of the Study:

To use machine learning (ML) on in utero MRI for quantitative kinematic analysis of fetal limb movement.
To assess the impact of maternal, placental, and fetal factors on fetal limb movement.

Main Methods:

Utilized 76 fetal BOLD MRI scans (24-40 GW) from 52 women.
Employed a 3D convolutional neural network to track fetal key points and calculate absolute movement time (AMT).
Performed mixed-model ANOVA to identify factors associated with AMT.

Main Results:

Fetal limb movement duration was significantly longer during maternal hyperoxia.
A significant centrifugal increase in AMT was observed across limbs.
Upper extremities showed longer AMT <31 GW, while lower extremities showed longer AMT >35 GW.

Conclusions:

ML successfully quantified complex 3D fetal limb motion in utero.
Maternal hyperoxia, gestational age, and joint type significantly impact fetal movement.
Quantification of fetal motion via MRI is a potential biomarker for fetal health and neuromuscular development.