Talks and Poster Presentations (with Proceedings-Entry):

H. Miao, G. Mistelbauer, A. Karimov, E. Gröller et al.:
"Placenta Maps: In Utero Placental Health Assessment of the Human Fetus";
Talk: IEEE Pacific Visualization, Seoul (invited); 2017-04-18 - 2017-04-21; in: "IEEE Transactions on Visualization and Computer Graphics", 23 (6) (2017), ISSN: 1077-2626; 1612 - 1623.

English abstract:
The human placenta is essential for the supply of the fetus. To monitor the fetal development, imaging data is acquired using
ultrasound (US). Although it is currently the gold-standard in fetal imaging, it might not capture certain abnormalities of the placenta.
Magnetic resonance imaging (MRI) is a safe alternative for the in utero examination while acquiring the fetus data in higher detail.
Nevertheless, there is currently no established procedure for assessing the condition of the placenta and consequently the fetal health.
Due to maternal respiration and inherent movements of the fetus during examination, a quantitative assessment of the placenta requires
fetal motion compensation, precise placenta segmentation and a standardized visualization, which are challenging tasks. Utilizing
advanced motion compensation and automatic segmentation methods to extract the highly versatile shape of the placenta, we introduce
a novel visualization technique that presents the fetal and maternal side of the placenta in a standardized way. Our approach enables
physicians to explore the placenta even in utero. This establishes the basis for a comparative assessment of multiple placentas to analyze
possible pathologic arrangements and to support the research and understanding of this vital organ. Additionally, we propose a
three-dimensional structure-aware surface slicing technique in order to explore relevant regions inside the placenta. Finally, to survey the
applicability of our approach, we consulted clinical experts in prenatal diagnostics and imaging. We received mainly positive feedback,
especially the applicability of our technique for research purposes was appreciated.

Placenta, Fetal, Flattening, Structure-Aware Slicing, Peeling

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.