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2
Probabilistic maps of the white matter tracts with known associated functions on the neonatal brain atlas: Application to evaluate longitudinal developmental trajectories in term-born and preterm-born infants.新生儿脑图谱上具有已知相关功能的白质束概率图:用于评估足月儿和早产儿纵向发育轨迹的应用。
Neuroimage. 2016 Mar;128:167-179. doi: 10.1016/j.neuroimage.2015.12.026. Epub 2015 Dec 19.
3
Construction and application of human neonatal DTI atlases.人类新生儿扩散张量成像图谱的构建与应用。
Front Neuroanat. 2015 Oct 26;9:138. doi: 10.3389/fnana.2015.00138. eCollection 2015.
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Multiresolution Diffeomorphic Mapping for Cortical Surfaces.用于皮质表面的多分辨率微分同胚映射
Inf Process Med Imaging. 2015;24:315-26. doi: 10.1007/978-3-319-19992-4_24.
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Gauss-Newton inspired preconditioned optimization in large deformation diffeomorphic metric mapping.高斯-牛顿启发的大变形微分同胚度量映射中的预处理优化
Phys Med Biol. 2014 Oct 21;59(20):6085-115. doi: 10.1088/0031-9155/59/20/6085. Epub 2014 Sep 25.
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Brain microstructural development at near-term age in very-low-birth-weight preterm infants: an atlas-based diffusion imaging study.基于图谱的弥散成像研究:极低出生体重早产儿近足月时的脑微观结构发育。
Neuroimage. 2014 Feb 1;86:244-56. doi: 10.1016/j.neuroimage.2013.09.053. Epub 2013 Oct 1.
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Atlas learning in fetal brain development.胎儿脑发育中的图谱学习
Top Magn Reson Imaging. 2011 Jun;22(3):107-11. doi: 10.1097/RMR.0b013e318267fe94.
8
A large deformation diffeomorphic metric mapping solution for diffusion spectrum imaging datasets.用于弥散谱成像数据集的大变形仿射度量映射解。
Neuroimage. 2012 Nov 1;63(2):818-34. doi: 10.1016/j.neuroimage.2012.07.033. Epub 2012 Jul 24.
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[Brain development of infant and MRI by diffusion tensor imaging].[婴儿脑发育与磁共振扩散张量成像]
Neurophysiol Clin. 2012 Jan-Feb;42(1-2):1-9. doi: 10.1016/j.neucli.2011.08.001. Epub 2011 Aug 30.
10
Postnatal brain development: structural imaging of dynamic neurodevelopmental processes.产后大脑发育:动态神经发育过程的结构影像学研究。
Prog Brain Res. 2011;189:77-92. doi: 10.1016/B978-0-444-53884-0.00019-1.

[0至2岁婴幼儿磁共振白质图谱的研究与验证]

[Investigation and validation of magnetic resonance white matter atlas for 0 to 2 years old infants].

作者信息

Hu D, Zhang M, Kang H Y, Peng Y

机构信息

Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2020 Nov 4;53(2):341-347. doi: 10.19723/j.issn.1671-167X.2021.02.019.

DOI:10.19723/j.issn.1671-167X.2021.02.019
PMID:33879909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8072437/
Abstract

OBJECTIVE

To construct and verify a standard template of white matter based on Chinese normal 0 to 2 years old infants by using nonlinear high registration accuracy of non-rigid diffeomorphism paradigm (large deformation diffeomorphic metric mapping, LDDMM).

METHODS

Full-term spontaneous labor children without maternal pregnancy disease (hypertension, diabetes, etc.), intrauterine hypoxia and ischemia, head trauma, intracranial infection, intracranial surgery history, family history of mental disorders were selected. Diffusion tensor imaging (DTI) data from the 120 normal Chinese infants under 2 years old were acquired after excluding the existence of neurological diseases revealed by neurologists, radiologists and Gesell Developmental Scale. All the data were divided into six groups including group A: 1 day to 1.5 months, group B: 1.5 to 4.5 months, group C: 4.5 to 9.0 months, group D: 9 to 15 months, group E: 15 to 21 months, and group F: 21 to 24 months. Data pre-processing, normalizing, tensor fitting and calculation of all the images were performed by using MRlcron, DtiStudio, DiffeoMap and SPM software package combined with LDDMM image registration method based on the selected single template of each group. And the average templates of each group were constructed by MATLAB software platform. The set of templates included fractional anisotropy figure (FA), color map, T1 weighted image, b0 image and the mean of all DWfs figures.

RESULTS

The templates of FA, T1, b0, DWfs and color map for the normal brain magnetic resonance white matter development of the Chinese infants aged 0 to 2 years were successfully established with the subjective scores exceeding 2 points. The objective evaluation root mean squared error was controlled below 0.19, and the cubic chart of brain alternation trend for the children aged 0 to 2 years was consistent with previous literature.

CONCLUSION

Constructing a standard template of white matter based on Chinese normal infants, by using nonlinear high registration accuracy of non-rigid diffeomorphism paradigm provides not only a foundation of further research on brain development, mechanism and treatment of pediatric diseases associated with brain, but also objective and fair imaging information for medical education and research.

摘要

目的

运用非刚性微分同胚范式(大变形微分同胚度量映射,LDDMM)的非线性高配准精度,构建并验证基于中国0至2岁正常婴幼儿的白质标准模板。

方法

选取无母亲孕期疾病(高血压、糖尿病等)、宫内缺氧缺血、头部外伤、颅内感染、颅内手术史及精神障碍家族史的足月顺产儿。在排除神经科医生、放射科医生及格塞尔发育量表显示存在神经系统疾病后,获取120例2岁以下中国正常婴幼儿的扩散张量成像(DTI)数据。所有数据分为六组,A组:1天至1.5个月,B组:1.5至4.5个月,C组:4.5至9.0个月,D组:9至15个月,E组:15至21个月,F组:21至24个月。使用MRlcron、DtiStudio、DiffeoMap和SPM软件包,结合基于每组所选单一模板的LDDMM图像配准方法,对所有图像进行数据预处理、归一化、张量拟合及计算。并通过MATLAB软件平台构建每组的平均模板。该组模板包括分数各向异性图(FA)、彩色图、T1加权图像、b0图像及所有扩散加权图像(DWfs)图的均值。

结果

成功建立了0至2岁中国婴幼儿正常脑磁共振白质发育的FA、T1、b0、DWfs及彩色图模板,主观评分超过2分。客观评估均方根误差控制在0.19以下,0至2岁儿童脑变化趋势的立方图与既往文献一致。

结论

运用非刚性微分同胚范式的非线性高配准精度构建基于中国正常婴幼儿的白质标准模板,不仅为进一步研究脑发育、与脑相关儿科疾病的机制及治疗奠定基础,也为医学教育及研究提供客观公正的影像信息。