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

机译:通过多模式纵向MR成像进行生长轨迹分析

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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. 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.
机译:人脑在出生后的头几年会发生重大变化,但是关于这一关键发育时期的知识却十分有限。尽管与髓鞘形成程度和轴突密度有关的组织特性测量也可以为我们对脑成熟的理解提供有价值的信息,但是以前的神经影像学研究主要集中在形态测量方法上,例如体积和形状。我们的目标是通过对纵向组织特性变化的研究来补充通过形态计量学进行的大脑生长分析,该变化反映在多模式结构MRI和DTI中观察到的模式中。我们的初步研究包括八名健康的儿科受试者,他们分别在T1,T2,PD和DT MRI的两周,一年和两年的年龄进行了重复扫描。通过将对象内部和对象之间的多种模态和时间点注册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tractography用于多变量组织分析。在call体以及前后内囊中观察到不同的快速变化模式,这些结构以明显不同的髓鞘形成而闻名。中央白质与周围白质有显着差异。我们证明结构化和扩散MRI的组合纵向分析证明优于单个方法,并且可能提供对早期神经发育轨迹的更好理解。

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