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Abstract #0639

Automated ROI Extraction of Placental and Fetal Regions for 30 minutes of EPI BOLD Acquisition with Different Maternal Oxygenation Episodes

Esra Abaci Turk 1 , Jie Luo 1 , Angel Torrado-Carvajal 1,2 , Tobias Hahn 1 , Maria Teulon Gonzalez 1,3 , Borjan Gagoski 4 , Carolina Bibbo 5 , Julian N Robinson 5 , Juan A Hernandez-Tamames 1,2 , Patricia Ellen Grant 4 , Elfar Adalsteinsson 1,6 , Javier Pascau 1,7 , and Norberto Malpica 1,2

1 Madrid-MIT M+Vision Consortium in RLE, Massachusetts Institute of Technology, Cambridge, MA, United States, 2 Medical Image Analysis and Biometry Laboratory, Universidad Rey Juan Carlos, Mostoles, Madrid, Spain, 3 Department of Obstetrics and Gynecology, Hospital Universitario de Fuenlabrada, Madrid, Spain, 4 Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 5 Department of Obstetrics and Gynecology, Division of Maternal and Fetal Medicine, Brigham and Women's Hospital, Boston, MA, United States, 6 Dept. of Electrical Engineering and Computer Science, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 7 Department of Biomedica Eng., Universidad Carlos III de Madrid Instituto de Investigacion Sanitaria Gregorio Maranon, Madrid, Spain

Measuring oxygen transport across the placenta can be critical for evaluating fetal growth and development. Blood oxygen level-dependent (BOLD) magnetic resonance imaging (MRI) with oxygen exposure can be used as a non-invasive tool to detect oxygenation changes in the placenta and fetal organs. So far, for the signal analysis, the manual segmentation is being used as gold standard when there are fetal and maternal movements; however it is highly time-consuming and therefore not a realistic solution for large-scale studies. In this study, we have demonstrated different registration pipelines to automate ROI extraction in the placenta and the fetal body.

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