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本文引用的文献

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Neuroimaging of brain development--discovering the origins of neuropsychiatric disorders?大脑发育的神经影像学——探寻神经精神疾病的根源?
Pediatr Res. 2008 Oct;64(4):325. doi: 10.1203/PDR.0b013e31818981ea.
2
Group analysis of DTI fiber tract statistics with application to neurodevelopment.基于扩散张量成像(DTI)纤维束统计的群组分析及其在神经发育中的应用。
Neuroimage. 2009 Mar;45(1 Suppl):S133-42. doi: 10.1016/j.neuroimage.2008.10.060. Epub 2008 Nov 14.
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A structural MRI study of human brain development from birth to 2 years.一项关于人类从出生到2岁大脑发育的结构磁共振成像研究。
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Temporal and spatial development of axonal maturation and myelination of white matter in the developing brain.发育中大脑白质轴突成熟和髓鞘形成的时空发育
AJNR Am J Neuroradiol. 2009 Feb;30(2):290-6. doi: 10.3174/ajnr.A1363. Epub 2008 Nov 11.
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A unified framework for clustering and quantitative analysis of white matter fiber tracts.白质纤维束聚类与定量分析的统一框架。
Med Image Anal. 2008 Apr;12(2):191-202. doi: 10.1016/j.media.2007.10.003. Epub 2007 Oct 25.
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Segmentation of brain MRI in young children.幼儿脑部磁共振成像的分割
Acad Radiol. 2007 Nov;14(11):1350-66. doi: 10.1016/j.acra.2007.07.020.
7
Early postnatal development of corpus callosum and corticospinal white matter assessed with quantitative tractography.通过定量纤维束成像评估胼胝体和皮质脊髓白质的出生后早期发育。
AJNR Am J Neuroradiol. 2007 Oct;28(9):1789-95. doi: 10.3174/ajnr.a0751.
8
Diffusion tensor imaging assessment of brain white matter maturation during the first postnatal year.出生后第一年脑白质成熟的扩散张量成像评估
AJR Am J Roentgenol. 2007 Aug;189(2):476-86. doi: 10.2214/AJR.07.2132.
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Automatic cortical segmentation in the developing brain.发育中大脑的自动皮质分割
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Diffusion tensor imaging: Application to the study of the developing brain.扩散张量成像:在发育中大脑研究中的应用。
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通过多模态纵向磁共振成像分析生长轨迹

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

作者信息

Sadeghi Neda, Prastawa Marcel, Gilmore John H, Lin Weili, Gerig Guido

机构信息

Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah 84112 ; Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah 84112.

Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah 84112 ; School of Computing, University of Utah, Salt Lake City, Utah 84112.

出版信息

Proc SPIE Int Soc Opt Eng. 2010 Mar 12;7623:76232U-. doi: 10.1117/12.844526.

DOI:10.1117/12.844526
PMID:24353376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3864929/
Abstract

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.

摘要

人类大脑在出生后的头几年会经历显著变化,但关于这一关键发育时期的知识相当有限。以往的神经影像学研究大多集中在形态测量指标上,如体积和形状,尽管与髓鞘化程度和轴突密度相关的组织特性测量也可为我们理解大脑成熟提供有价值的信息。我们的目标是通过形态测量学对大脑生长进行分析,并结合多模态结构磁共振成像(MRI)和扩散张量成像(DTI)中观察到的模式所反映的纵向组织特性变化进行研究。我们的初步研究包括八名健康的儿科受试者,他们在两周、一岁和两岁时分别进行了T1、T2、质子密度加权成像(PD)和DTI MRI的重复扫描。分析过程是将受试者内部和之间的多个模态和时间点配准到一个共同的坐标框架中,然后进行图像强度归一化。利用扩散和结构图像参数进行定量纤维束成像,用于多变量组织分析。在胼胝体以及后、前内囊(已知具有明显不同髓鞘化生长的结构)中观察到了不同的快速变化模式。中央白质和外周白质存在显著差异,在T1和T2图像中也存在白质/灰质对比度反转,但扩散参数不存在这种情况。我们证明,结构MRI和扩散MRI的联合纵向分析优于单独的模态分析,可能会更好地理解早期神经发育的轨迹。