E(3)-Pose Tracks Fetal Movement During MRI Scans

Oct 19, 2026
Researchers at MIT, Boston Children's Hospital, and Inria developed E(3)-Pose, a deep learning model that tracks fetal head movement during MRI scans. The model uses head symmetry to help produce clearer 3D brain images.

Researchers at MIT, Boston Children’s Hospital, and Inria developed E(3)-Pose, a deep learning model that tracks fetal head movement during MRI scans, MIT reports. The researchers presented the work at the 2026 European Conference on Computer Vision.

Fetal MRI combines multiple 2D image slices into a high resolution 3D view of the brain. Movement can change the angle of each slice, creating gaps that make developmental abnormalities harder to identify. E(3)-Pose estimates the position of the fetal head while scanning, allowing the imaging process to adjust for movement.

The model incorporates the left to right symmetry of the fetal head into its neural network architecture. It is primarily trained on third trimester fetuses, and the researchers plan to improve its performance for smaller and more active fetuses in the second trimester.

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