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本文引用的文献

1
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI.PVR:用于胎儿MRI大面积运动校正的补丁到体积重建
IEEE Trans Med Imaging. 2017 Oct;36(10):2031-2044. doi: 10.1109/TMI.2017.2737081. Epub 2017 Sep 1.
2
Pediatric neuro MRI: tricks to minimize sedation.小儿神经磁共振成像:减少镇静的技巧。
Pediatr Radiol. 2018 Jan;48(1):50-55. doi: 10.1007/s00247-017-3785-1. Epub 2017 Apr 22.
3
Diffusion Tensor Imaging Detects Occult Cerebellar Injury in Severe Neonatal Hypoxic-Ischemic Encephalopathy.弥散张量成像检测重度新生儿缺氧缺血性脑病中的隐匿性小脑损伤。
Dev Neurosci. 2017;39(1-4):207-214. doi: 10.1159/000454856. Epub 2017 Jan 18.
4
Joint Attention and Brain Functional Connectivity in Infants and Toddlers.婴幼儿的联合注意与脑功能连接
Cereb Cortex. 2017 Mar 1;27(3):1709-1720. doi: 10.1093/cercor/bhw403.
5
Microstructure of the Default Mode Network in Preterm Infants.早产儿默认模式网络的微观结构
AJNR Am J Neuroradiol. 2017 Feb;38(2):343-348. doi: 10.3174/ajnr.A4997. Epub 2016 Nov 10.
6
Human Connectomics across the Life Span.人类全生命周期连接组学
Trends Cogn Sci. 2017 Jan;21(1):32-45. doi: 10.1016/j.tics.2016.10.005. Epub 2016 Nov 16.
7
Cerebellar Microstructural Organization is Altered by Complications of Premature Birth: A Case-Control Study.早产并发症会改变小脑微结构组织:一项病例对照研究
J Pediatr. 2017 Mar;182:28-33.e1. doi: 10.1016/j.jpeds.2016.10.034. Epub 2016 Nov 11.
8
Longitudinal Study of the Emerging Functional Connectivity Asymmetry of Primary Language Regions during Infancy.婴儿期主要语言区域新兴功能连接不对称性的纵向研究。
J Neurosci. 2016 Oct 19;36(42):10883-10892. doi: 10.1523/JNEUROSCI.3980-15.2016.
9
Diffusion tensor imaging: A biomarker of outcome in Krabbe's disease.扩散张量成像:克拉伯病预后的生物标志物。
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10
Alternatives to Sedation and General Anesthesia in Pediatric Magnetic Resonance Imaging: A Literature Review.儿科磁共振成像中镇静和全身麻醉的替代方法:文献综述
Radiol Technol. 2016 Sep;88(1):18-26.

儿科神经影像学的挑战。

Challenges in pediatric neuroimaging.

机构信息

Department of Radiology and Diagnostic Imaging, University of California, San Francisco 505 Parnassus Avenue, Room L352, San Francisco, CA 94143-0628, United States.

Department of Radiology and Diagnostic Imaging, University of California, San Francisco 505 Parnassus Avenue, Room L352, San Francisco, CA 94143-0628, United States.

出版信息

Neuroimage. 2019 Jan 15;185:793-801. doi: 10.1016/j.neuroimage.2018.04.044. Epub 2018 Apr 22.

DOI:10.1016/j.neuroimage.2018.04.044
PMID:29684645
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6197938/
Abstract

Pediatric neuroimaging is challenging due the rapid structural, metabolic, and functional changes that occur in the developing brain. A specially trained team is needed to produce high quality diagnostic images in children, due to their small physical size and immaturity. Patient motion, cooperation and medical condition dictate the methods and equipment used. A customized approach tailored to each child's age and functional status with the appropriate combination of dedicated staff, imaging hardware, and software is key; these range from low-tech techniques, such as feed and swaddle, to specialized small bore MRI scanners, MRI compatible incubators and neonatal head coils. New pre-and post-processing techniques can also compensate for the motion artifacts and low signal that often degrade neonatal scans.

摘要

儿科神经影像学具有挑战性,因为在发育中的大脑中会发生快速的结构、代谢和功能变化。由于儿童的身体较小且不成熟,因此需要一支经过专门培训的团队来生成高质量的诊断图像。患者的运动、配合和身体状况决定了所使用的方法和设备。根据每个孩子的年龄和功能状态,采用适当的专业人员、成像硬件和软件组合来定制个性化的方法是关键;这些方法包括从低技术技术,如喂食和襁褓,到专门的小口径 MRI 扫描仪、MRI 兼容培养箱和新生儿头部线圈。新的预处理和后处理技术也可以弥补经常降低新生儿扫描质量的运动伪影和低信号。

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