用于验证胎盘绒毛膜表面血管网络追踪协议的形状匹配算法
Shape matching algorithm to validate the tracing protocol of placental chorionic surface vessel networks.
作者信息
Shah R G, Salafia C M, Girardi T, Conrad L, Keaty K, Bartleotc A
机构信息
Placental Analytics, LLC, Larchmont, NY, USA.
Placental Analytics, LLC, Larchmont, NY, USA; Institute for Basic Research, Staten Island, NY, USA.
出版信息
Placenta. 2015 Aug;36(8):944-6. doi: 10.1016/j.placenta.2015.05.004. Epub 2015 May 12.
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.
胎盘绒毛膜表面血管网络（PCSVNs）的变异性可能标志着胎儿健康的发育和功能变化。在此，我们报告一种从产后胎盘的数字二维图像中手动追踪PCSVNs的方案，并通过形状匹配方法对其进行验证，以比较PCSVNs的注入颜料和未处理（未注入和放气血管）追踪之间的相似性。我们表明，未处理血管的追踪产生的网络与通过追踪注入颜料的PCSVNs获得的网络非常可比。我们认为，未处理PCSVNs的手动追踪可以提取可能影响胎儿健康的PCSVN生长和结构特征。
Zotero 插件