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

机译:通过多模态纵向MR成像分析生长轨迹

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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:人脑在出生后的前几年进行了重大变化,但了解这一关键发展时期的知识相当有限。以前的神经影像学研究主要集中在诸如体积和形状的形态测量上,尽管与髓鞘接受程度和轴突密度有关的组织性能措施也可以为我们对脑成熟的理解添加有价值的信息。我们的目标是通过形态测量来补充脑生长分析,与在多模态结构MRI和DTI中观察到的模式中反映的纵向组织性能发生的研究。我们的初步研究包括八个健康的儿科对象,在两周,一年和两年内,T1,T2,Pd和DT MRI重复扫描。分析是通过在常见坐标帧中的多个模式和时间点的登记和时间点的登记驱动,然后是图像强度归一化。具有扩散和结构图像参数的定量牵引器用于多变化组织分析。在胼callosum和后部内部胶囊中观察到不同的快速变化模式,以明显不同的髓鞘形成生长所知的结构。中央与周边白质有显着差异。我们表明,结构和扩散MRI的组合纵向分析证明了各种方式,可以更好地了解早期神经发作的轨迹。

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