Anisotropy in the Human Placenta in Pregnancies Complicated by Fetal Growth Restriction
Slator PJ, Ho A, Bakalis S, Jackson L, Chappell LC, Alexander DC, Hajnal JV, Rutherford M, Hutter J (2021)
Publication Type: Conference contribution
Publication year: 2021
Publisher: Springer Science and Business Media Deutschland GmbH
Pages Range: 263-276
Conference Proceedings Title: Mathematics and Visualization
Event location: Dagstuhl, DEU
ISBN: 9783030562144
DOI: 10.1007/978-3-030-56215-1_13
Abstract
The placenta has a unique structure, which enables the transfer of oxygen and nutrients from the mother to the developing fetus. Abnormalities in placental structure are associated with major complications of pregnancy; for instance, changes in the complex branching structures of fetal villous trees are associated with fetal growth restriction. Diffusion MRI has the potential to measure such fine placental microstructural details. Here, we present in-vivo placental diffusion MRI scans from controls and pregnancies complicated by fetal growth restriction. We find that after 30 weeks’ gestation fractional anisotropy is significantly higher in placentas associated with growth restricted pregnancies. This shows the potential of diffusion MRI derived measures of anisotropy for assessing placental function during pregnancy.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Slator, P.J., Ho, A., Bakalis, S., Jackson, L., Chappell, L.C., Alexander, D.C.,... Hutter, J. (2021). Anisotropy in the Human Placenta in Pregnancies Complicated by Fetal Growth Restriction. In Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster (Eds.), Mathematics and Visualization (pp. 263-276). Dagstuhl, DEU: Springer Science and Business Media Deutschland GmbH.
MLA:
Slator, Paddy J., et al. "Anisotropy in the Human Placenta in Pregnancies Complicated by Fetal Growth Restriction." Proceedings of the Workshop on Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy, 2018, Dagstuhl, DEU Ed. Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster, Springer Science and Business Media Deutschland GmbH, 2021. 263-276.
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