Fetal brain MRI: Segmentation and biometric analysis of the posterior fossa
Fetal brain MRI: Segmentation and biometric analysis of the posterior fossa
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DOI：
10.1109/tbme.2003.821032
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发表时间：
2004-04-01
影响因子：
4.6
通讯作者：
Sebag, G
中科院分区：
文献类型：
--
作者：
Claude, I;Daire, JL;Sebag, G
本文提出了一种胎儿核磁共振图像分割和后窝中线结构生物特征分析的新方法。我们开发了一种基于区域生长技术的半自动分割方法，并对104例正常胎儿的图像进行了测试。使用感兴趣的分割区域（后窝、蚓部和脑干），我们计算了四种相对面积比。统计和临床分析结果表明，这些结构的相对发展似乎与妊娠期无关。在另一项23例病理病例的研究中，四项测量中有一项总是与正常病例观察到的相应值显著不同。
This paper presents a novel approach to fetal magnetic resonance image segmentation and biometric analysis of the posterior fossa's midline structures. We developed a semi-automatic segmentation method (based on a region growing technique) and tested the algorithm on images of 104 normal fetuses. Using the segmented regions of interest (posterior fossa, vermis, and brains stem), we computed four relative area ratios. Statistical and clinical analysis of our results showed that the relative development of these structures appears to be independent of pregnancy term. In an additional study of 23 pathological cases, one of the four measurements was always significantly different from the corresponding value observed in normal cases,