Regional growth and atlasing of the developing human brain.
Regional growth and atlasing of the developing human brain.
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DOI：
10.1016/j.neuroimage.2015.10.047
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发表时间：
2016-01-15
期刊：
影响因子：
5.7
通讯作者：
Rueckert D
中科院分区：
文献类型：
--
作者：
Makropoulos A;Aljabar P;Wright R;Hüning B;Merchant N;Arichi T;Tusor N;Hajnal JV;Edwards AD;Counsell SJ;Rueckert D
需要对新生儿大脑进行详细的形态测量分析来表征大脑发育并定义与大脑生长受损相关的神经影像生物标志物。新生儿脑部MRI的准确自动分割是分析大数据集的先决条件。我们之前提出了一种准确而强大的自动分割技术，用于将新生儿大脑分割成多个皮质和皮质下区域。在本研究中，我们进一步扩展了分割方法来检测皮质沟并提供皮质带的详细描绘。这些详细的分割用于为整个发育时期的 82 个皮质和皮质下结构构建大脑的 4 维时空结构图谱。我们使用该算法对一个包含 420 张发育中大脑 MR 图像的庞大数据库进行分割，这些图像的成像年龄为月经后 27 至 45 周。区域体积和皮质表面测量被导出并用于研究这一关键时期的大脑生长和发育，并评估出生时不成熟的影响。全脑体积、所有研究结构的绝对体积、皮质曲率和皮质表面积随着扫描时年龄的增加而增加。扫描时，皮质灰质、小脑和脑脊液的相对体积随着年龄的增长而增加，而白质、脑室、脑干、基底神经节和丘脑的相对体积则减少。与足月出生的对照组相比，足月早产儿的全脑体积较小，区域白质、皮质和皮质下灰质体积减少，皮质表面积减少，而早产儿组的脑室体积更大。出生早产率的增加与总白质和局部白质、皮质和皮质下灰质体积的减少、心室体积的增加以及皮质表面积的减少有关。提出了一种新的方法来描绘皮质带。在发育中的早产大脑中评估区域大脑生长。我们研究早产对大脑生长和皮质发育的影响。新生儿时空图谱由 82 个大脑结构组成。
Detailed morphometric analysis of the neonatal brain is required to characterise brain development and define neuroimaging biomarkers related to impaired brain growth. Accurate automatic segmentation of neonatal brain MRI is a prerequisite to analyse large datasets. We have previously presented an accurate and robust automatic segmentation technique for parcellating the neonatal brain into multiple cortical and subcortical regions. In this study, we further extend our segmentation method to detect cortical sulci and provide a detailed delineation of the cortical ribbon. These detailed segmentations are used to build a 4-dimensional spatio-temporal structural atlas of the brain for 82 cortical and subcortical structures throughout this developmental period. We employ the algorithm to segment an extensive database of 420 MR images of the developing brain, from 27 to 45 weeks post-menstrual age at imaging. Regional volumetric and cortical surface measurements are derived and used to investigate brain growth and development during this critical period and to assess the impact of immaturity at birth. Whole brain volume, the absolute volume of all structures studied, cortical curvature and cortical surface area increased with increasing age at scan. Relative volumes of cortical grey matter, cerebellum and cerebrospinal fluid increased with age at scan, while relative volumes of white matter, ventricles, brainstem and basal ganglia and thalami decreased. Preterm infants at term had smaller whole brain volumes, reduced regional white matter and cortical and subcortical grey matter volumes, and reduced cortical surface area compared with term born controls, while ventricular volume was greater in the preterm group. Increasing prematurity at birth was associated with a reduction in total and regional white matter, cortical and subcortical grey matter volume, an increase in ventricular volume, and reduced cortical surface area. A novel methodology is proposed for delineating the cortical ribbon. Regional brain growth is assessed in the developing preterm brain. We investigate the effect of prematurity on brain growth and cortical development. A spatio-temporal neonatal atlas is constructed with 82 brain structures.