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MRI measurement of placental perfusion and fetal blood oxygen saturation in normal pregnancy and placental insufficiency

Aughwane, R; Sokolska, M; Bainbridge, A; Atkinson, D; Kendall, G; Deprest, J; Vercauteren, T; ... Melbourne, A; + view all (2018) MRI measurement of placental perfusion and fetal blood oxygen saturation in normal pregnancy and placental insufficiency. In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention: MICCAI 2018. (pp. pp. 913-920). Springer: Granada, Spain. Green open access

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Abstract

The placenta is essential for successful pregnancy outcome. Inadequate placenta development leads to poor placental perfusion and placental insufficiency, responsible for one third of antenatal stillbirths. Current imaging modalities provide poor clinical assessment of placental perfusion and pregnancy outcome. In this work we propose a technique to estimate the vascular properties of retro-placenta myometrial and placental perfusion. The fetal blood saturation is a relative unknown, thus we describe a method to simultaneously estimate the fetal blood volume in addition to the fetal blood T2 relaxation time from which we can estimate this parameter. This information may prove useful for predicting if and when a placenta will fail, and thus when a small baby must be delivered to have the best neurological outcome. We report differences in vascular compartments and saturation values observed between 5 normal pregnancies, and two complicated by placental insufficiency.

Type: Proceedings paper
Title: MRI measurement of placental perfusion and fetal blood oxygen saturation in normal pregnancy and placental insufficiency
Event: International Conference on Medical Image Computing and Computer-Assisted Intervention: MICCAI 2018
ISBN-13: 9783030009335
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-00934-2_101
Publisher version: https://doi.org/10.1007/978-3-030-00934-2_101
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Metabolism and Experi Therapeutics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Maternal and Fetal Medicine
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10061799
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