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Murine Fetal Echocardiography
Published on: February 15, 2013
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Optical coherence tomography of human fetal membrane sub-layers during loading
Kayvan Samimi1, Emmanuel Contreras Guzman1, May Wu1
1Morgridge Institute for Research, Madison, WI 53715, USA.
Biomedical Optics Express
|June 21, 2023
Summary
This study used optical coherence tomography (OCT) and machine learning to analyze human fetal membranes. The amnion layer bears the load, and membrane properties vary by location and labor status.
Area of Science:
- Biomedical Engineering
- Obstetrics & Gynecology
- Biophysics
Background:
- Fetal membranes are crucial for pregnancy but are too thin for standard imaging.
- Existing imaging techniques lack the resolution to study fetal membrane mechanics.
- High-resolution characterization is needed to understand pregnancy maintenance and complications.
Purpose of the Study:
- To develop and apply optical coherence tomography (OCT) and machine learning for high-resolution characterization of human fetal membranes.
- To investigate the mechanical properties of fetal membranes under dynamic loading.
- To identify the load-bearing layer and regional differences in membrane structure and mechanics.
Main Methods:
- Integrated a saline inflation test with OCT for ex vivo dynamic loading of human fetal membranes.
- Collected samples from near-cervical and near-placental regions of labored and C-section donors.
- Utilized histology and advanced microscopy (two-photon, second harmonic generation) for contrast source identification.
- Trained a convolutional neural network for accurate segmentation of fetal membrane sub-layers (Dice >0.8).
Main Results:
- The amnion layer was identified as the primary load-bearing component in intact fetal membranes.
- Near-placental amniochorion showed greater rupture pressure and thickness than near-cervical regions in labored samples.
- Near-cervical amniochorion exhibited strain-hardening compared to the near-placental region in labored samples.
- Location-dependent thickness variations were not solely due to the amnion layer.
Conclusions:
- OCT and machine learning provide high-resolution insights into fetal membrane biomechanics.
- The amnion layer is critical for load-bearing capacity during pregnancy.
- Regional differences in fetal membrane structure and mechanics exist, particularly in labored pregnancies.
- These findings enhance understanding of fetal membrane function and potential failure mechanisms.
