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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