PLoS ONESystems BiologyPeer-reviewed journal article
Modeling Normal Mouse Uterine Contraction and Placental Perfusion with Non- invasive Longitudinal Dynamic Contrast Enhancement MRI
Devin Raine Everaldo CortesiD, Margaret Caroline Stapleton, Kristina Elsa Schwab, Dalton West, Noah William Coulson, Mary GemmeliD, Anthony ChristodoulouiD, Robert W. PowersiD, Yijen Lin WuiD
Abstract
The placenta is a transient organ critical for fetal development. Disruptions of normal placental functions can impact health throughout an individuals entire life. Although being recognized by the NIH Human Placenta Project as an important organ, the placenta remains understudied, partly because of a lack of non-invasive tools for longitudinally evaluation for key aspects of placental functionalities. Non-invasive imaging that can longitudinally probe murine placental health in vivo are critical to understanding placental development throughout pregnancy. We developed advanced imaging processing schemes to establish functional biomarkers for non-invasive longitudinal evaluation of placental development. We developed a dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) pipeline combined with advanced image process methods to model uterine contraction and placental perfusion dynamics. Our novel imaging pipeline uses subcutaneous administration of gadolinium for steepest-slope based perfusion evaluation. This enables non-invasive longitudinal monitoring. Additionally, we advance the placental perfusion chamber paradigm with a novel physiologically-based threshold model for chamber localization and demonstrate spatially varying placental chambers using multiple functional metrics that assess mouse placental development and continuing remodeling throughout gestation. Lastly, using optic flow to quantify placental motions arisen from uterine contractions in conjunction with time-frequency analysis, we demonstrated that the placenta exhibited asymmetric contractile motion.
- Citations
- 3
- FWCI
- 0.76
- Field percentile
- top 34%
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