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Shape matching algorithm to validate the tracing protocol of placental chorionic surface vessel networks.


ABSTRACT: Variability in placental chorionic surface vessel networks (PCSVNs) may mark developmental and functional changes in fetal health. Here we report a protocol of manually tracing PCSVNs from digital 2D images of post-delivery placentas and its validation by a shape matching method to compare the similarity between paint-injected and unmanipulated (uninjected and deflated vessels) tracings of PCSVNs. We show that tracings of unmanipulated vessels produce networks that are very comparable to the networks obtained by tracing paint-injected PCSVNs. We suggest that manual tracings of unmanipulated PCSVNs can extract features of PCSVN growth and structure that may impact fetal wellbeing.

SUBMITTER: Shah RG 

PROVIDER: S-EPMC4550039 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

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Shape matching algorithm to validate the tracing protocol of placental chorionic surface vessel networks.

Shah R G RG   Salafia C M CM   Girardi T T   Conrad L L   Keaty K K   Bartleotc A A  

Placenta 20150512 8


Variability in placental chorionic surface vessel networks (PCSVNs) may mark developmental and functional changes in fetal health. Here we report a protocol of manually tracing PCSVNs from digital 2D images of post-delivery placentas and its validation by a shape matching method to compare the similarity between paint-injected and unmanipulated (uninjected and deflated vessels) tracings of PCSVNs. We show that tracings of unmanipulated vessels produce networks that are very comparable to the net  ...[more]

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