Project

Monitoring Fetal Health

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We develop algorithms for fetal MRI interpretation, to enable noninvasive fetal monitoring from MRI.

We develop algorithms to enable automated analysis of the fetus and placenta in dynamic MRI series. Signal quality improvements, tracking and segmentation of the organs of interest, and subsequent analysis of the MRI signal provides measures of placental function and fetal development. These measures promise to yield novel biomarkers of fetal health for monitoring during pregnancy.

 

tracking
Twin pregnancy example case. Manual segmentation is performed on the template frame for placenta, fetal livers and fetal brains. Through our temporal registration, the manual segmentation is propagated to the other frames. The video shows one cross-sectional view of the series with the propagated segmentation outlines.

Group

Medical Vision Group Vision Group
How to contact us
Contact us

If you would like to contact us about our work, please refer to our members below and reach out to one of the group leads directly.

Last updated Sep 24 '21

Research Areas

AI & ML
Graphics & Vision

Impact Areas

Health Care

Group

Medical Vision Group Vision Group

Members

Publications

Daniel Moyer, Esra Abaci Turk, P Ellen Grant, William M Wells, Polina Golland
Equivariant Filters for Efficient Tracking in 3D Imaging
MICCAI 2021
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S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland
Placental Flattening via Volumetric Parameterization
MICCAI 2019
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Ruizhi Liao and Esra A Turk and Miaomiao Zhang and Jie Luo and P Ellen Grant and Elfar Adalsteinsson and Polina Golland
Temporal registration in in-utero volumetric MRI time series
MICCAI 2016
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