Keywords: Placenta, Placenta
Motivation: Placental insufficiency is a factor that contributes to multiple pregnancy complications such as Fetal Growth Restriction (FGR).
Goal(s): Providing better understanding to clinicians is important for future treatment planning and automatic detection of the feto-placental vasculature from imaging may provide a tool to guide clinical assessment.
Approach: This work compared the Frangi filter and an edge-based detection algorithm abilities to automatically identify feto-placental vasculature from MRI.
Results: The study found that both methods identified likely vascular structures, and both showed spatial trend similarities when compared with gold-standard/high resolution Micro-CT, as well as a showing differences between FGR and Control vessel segmentations.
Impact: Evaluating the most accurate method for automatically identifying feto-placental vasculature will go on to further aid quantifying placental insufficiency and improving understanding for predicting and clinically treating conditions such as fetal growth restriction.
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