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Abstract #3743

Modeling Mouse Placental Perfusion Dynamics and Contractions via Dynamic Contrast Enhancement MRI

Devin Raine Everalo Cortes1,2,3,4, Margaret C. Stapleton2,4, Samuel Wyman2,4, Kristina E. Schwab5,6, Noah W. Coulson2,7, Dalton R West2,4, Thomas Becker-Szurszewski5,6, Sean Hartwick5,6, Anthony G. Christodoulou8, and Yijen L Wu2,3,4,9
1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Developmental Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States, 4Rangos Research Center Small Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 5Rangos Research Center Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 6Department of Pediatrics, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States, 7Rangos Research Center Small Animal Imaging Core, University of Pittsburgh, Pittsburgh, PA, United States, 8Biomedical Imaging Research Institue, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 9Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States

Synopsis

Keywords: Contrast Agent, Placenta, Perfusion, PCA, FASD, DCE

Placental development is a dynamic process, and the timing of placental development events is crucial for appropriate fetal development. However, the placenta itself remains critically understudied in the context of fetal development disorders. We propose novel models for correlating DCE-MRI perfusion estimation with biologically relevant compartments and extracting dynamic biomarkers for placental development. We validate this model by demonstrating that placental perfusion is disrupted in a murine model of peri-conceptual alcohol exposure, and that this disruption occurs differently across various compartments from E14.5 to E17.5.

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Keywords