NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns.
NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns.
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DOI：
10.1016/j.neuroimage.2016.05.034
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发表时间：
2016-09
期刊：
影响因子：
5.7
通讯作者：
Xu D
中科院分区：
文献类型：
--
作者：
Kim H;Lepage C;Maheshwary R;Jeon S;Evans AC;Hess CP;Barkovich AJ;Xu D
在妊娠晚期，大脑皮层折叠在胎儿大脑中变得更加复杂；这一过程在早产儿童中也以类似的方式继续进行。为了量化这种形态发展，有必要提取灰质和白质之间的界面，由于大脑成熟过程中组织对比度的变化，这尤其具有挑战性。我们使用完善的CIVET管道来提取皮质表面，使用基于表面的球面配准，在受试者之间具有点对应。然后，我们开发了一种称为NEOCIVET的管道变体，该管道使用平均曲率和沟深来量化皮质折叠，同时解决了众所周知的新生儿MRI中灰度/白色对比度差和时间变化以及运动伪影的问题。NEOCIVET包括：i)使用非局部均值估计器分析多图谱纹理斑块的组织分类技术，随后应用基于模板之间联合概率的标签融合方法，ii)基于年龄特异性亚群的新生儿模板构建，以及iii)使用标签融合方法掩盖非感兴趣的结构。这些技术取代了可能对低对比度新生儿皮质区域分析不理想的模块。与现有的分割方法相比，该方法在不同年龄和不同运动程度的受试者中显示出更准确的分割结果。在对158名早产儿的分析中，许多进行了多次扫描（n = 231；扫描时月经后26-40周），NEOCIVET发现，随着时间的推移，许多皮质区域的皮质折叠增加（平均曲率：+0.003/周；沟深：+0.04 mm/周），而已知早期形成的主要沟的折叠没有改变（校正p < 0.05）。所提出的管道成功地绘制了皮层结构发育，支持了当前的大脑形态发生模型，此外，揭示了相对于相对较晚的早产儿，极早产新生儿的皮层折叠受损，证明了其提供早产相关发育结果的生物标志物的潜力。
Cerebral cortical folding becomes dramatically more complex in the fetal brain during the 3rd trimester of gestation; the process continues in a similar fashion in children who are born prematurely. To quantify this morphological development, it is necessary to extract the interface between gray matter and white matter, which is particularly challenging due to changing tissue contrast during brain maturation. We employed the well-established CIVET pipeline to extract this cortical surface, with point correspondence across subjects, using a surface-based spherical registration. We then developed a variant of the pipeline, called NEOCIVET, that quantified cortical folding using mean curvature and sulcal depth while addressing the well-known problems of poor and temporally-varying gray/white contrast as well as motion artifact in neonatal MRI. NEOCIVET includes: i) a tissue classification technique that analyzed multi-atlas texture patches using the nonlocal mean estimator and subsequently applied a label fusion approach based on a joint probability between templates, ii) neonatal template construction based on age-specific sub-groups, and iii) masking of non-interesting structures using label-fusion approaches. These techniques replaced modules that might be suboptimal for regional analysis of poor-contrast neonatal cortex. The proposed segmentation method showed more accurate results in subjects with various ages and with various degrees of motion compared to state-of-the-art methods. In the analysis of 158 preterm-born neonates, many with multiple scans (n = 231; 26–40 weeks postmenstrual age at scan), NEOCIVET identified increases in cortical folding over time in numerous cortical regions (mean curvature:+0.003/week; sulcal depth:+0.04 mm/week) while folding did not change in major sulci that are known to develop early (corrected p < 0.05). The proposed pipeline successfully mapped cortical structural development, supporting current models of cerebral morphogenesis, and furthermore, revealed impairment of cortical folding in extremely preterm newborns relative to relatively late preterm newborns, demonstrating its potential to provide biomarkers of prematurity-related developmental outcome.