Towards Analysis of Growth Trajectory through Multi-modal Longitudinal MR Imaging.

Towards Analysis of Growth Trajectory through Multi-modal Longitudinal MR Imaging.
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DOI:
10.1117/12.844526
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发表时间:
2010-03-12
期刊:
Proceedings of SPIE--the International Society for Optical Engineering
影响因子:
--
通讯作者:
Gerig G
Gerig G
中科院分区:
其他
文献类型:
--
作者:
Sadeghi N;Prastawa M;Gilmore JH;Lin W;Gerig G

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人类的大脑在出生后的头几年会发生重大变化,但对这一关键发育期的了解非常有限。以前的神经影像学研究主要集中在形态测量,如体积和形状,虽然与髓鞘形成程度和轴突密度相关的组织特性测量也可以为我们了解大脑成熟提供有价值的信息。我们的目标是补充脑生长分析,通过形态测量与纵向组织性质的变化,反映在多模态结构MRI和DTI中观察到的模式的研究。我们的初步研究包括8名健康的儿科受试者,他们在两周、一岁和两岁时接受了T1、T2、PD和DT MRI重复扫描。通过将受试者内和受试者之间的多个模态和时间点配准到一个共同的坐标系中,然后进行图像强度归一化来驱动分析。具有扩散和结构图像参数的定量纤维束成像用于多变量组织分析。在胼胝体、后内囊和前内囊中观察到不同的快速变化模式,这些结构具有明显不同的髓鞘形成生长。中心与周围白色物质存在显著差异,T1和T2图像中也存在wm/gm对比度翻转,但弥散参数无差异。我们证明,结合纵向分析的结构和扩散磁共振成像证明上级个人的方式,并可能提供一个更好的理解的轨迹早期神经发育。
The human brain undergoes significant changes in the first few years after birth, but knowledge about this critical period of development is quite limited. Previous neuroimaging studies have been mostly focused on morphometric measures such as volume and shape, although tissue property measures related to the degree of myelination and axon density could also add valuable information to our understanding of brain maturation. Our goal is to complement brain growth analysis via morphometry with the study of longitudinal tissue property changes as reflected in patterns observed in multi-modal structural MRI and DTI. Our preliminary study includes eight healthy pediatric subjects with repeated scans at the age of two weeks, one year, and two years with T1, T2, PD, and DT MRI. Analysis is driven by the registration of multiple modalities and time points within and between subjects into a common coordinate frame, followed by image intensity normalization. Quantitative tractography with diffusion and structural image parameters serves for multi-variate tissue analysis. Different patterns of rapid changes were observed in the corpus callosum and the posterior and anterior internal capsule, structures known for distinctly different myelination growth. There are significant differences in central versus peripheral white matter, and also a wm/gm contrast flip in both T1 and T2 images but not diffusion parameters. We demonstrate that the combined longitudinal analysis of structural and diffusion MRI proves superior to individual modalities and might provide a better understanding of the trajectory of early neurodevelopment.
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