A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth.
A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth.
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DOI：
10.1038/s41598-017-00525-w
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发表时间：
2017-03-28
影响因子：
4.6
通讯作者：
Warfield SK
中科院分区：
文献类型：
--
作者：
Gholipour A;Rollins CK;Velasco-Annis C;Ouaalam A;Akhondi-Asl A;Afacan O;Ortinau CM;Clancy S;Limperopoulos C;Yang E;Estroff JA;Warfield SK
宫内早期脑生长的纵向表征受到胎儿成像中的许多挑战、发育中的脑的大小、形状和体积的快速变化以及随之而来的缺乏用于胎儿脑图像分析的合适算法的限制。需要一种改进的数字脑图谱的时空成熟的胎儿大脑的关键发育时期。我们已经开发了一种算法，用于构建一个公正的四维图谱的发育中的胎儿大脑结合对称变形登记空间核回归年龄。我们应用这种新的算法构建了一个时空图谱，从MRI扫描的81个正常胎儿之间的19和39周的妊娠和标记的结构发育中的大脑。我们评估了使用该图谱和其他单独的胎儿脑MRI图谱进行胎儿脑MRI的全自动多图谱分割。该图谱可在线作为解剖学和配准和分割的参考，以帮助连接分析，以及早期大脑生长的分组和纵向分析。
Longitudinal characterization of early brain growth in-utero has been limited by a number of challenges in fetal imaging, the rapid change in size, shape and volume of the developing brain, and the consequent lack of suitable algorithms for fetal brain image analysis. There is a need for an improved digital brain atlas of the spatiotemporal maturation of the fetal brain extending over the key developmental periods. We have developed an algorithm for construction of an unbiased four-dimensional atlas of the developing fetal brain by integrating symmetric diffeomorphic deformable registration in space with kernel regression in age. We applied this new algorithm to construct a spatiotemporal atlas from MRI of 81 normal fetuses scanned between 19 and 39 weeks of gestation and labeled the structures of the developing brain. We evaluated the use of this atlas and additional individual fetal brain MRI atlases for completely automatic multi-atlas segmentation of fetal brain MRI. The atlas is available online as a reference for anatomy and for registration and segmentation, to aid in connectivity analysis, and for groupwise and longitudinal analysis of early brain growth.