Suppr超能文献

早期儿童的神经颅厚度测绘。

Neurocranium thickness mapping in early childhood.

机构信息

CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA.

Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.

出版信息

Sci Rep. 2020 Oct 6;10(1):16651. doi: 10.1038/s41598-020-73589-w.

Abstract

The neurocranium changes rapidly in early childhood to accommodate the growing brain. Developmental disorders and environmental factors such as sleep position may lead to abnormal neurocranial maturation. Therefore, it is important to understand how this structure develops, in order to provide a baseline for early detection of anomalies. However, its anatomy has not yet been well studied in early childhood due to the lack of available imaging databases. In hospitals, CT is typically used to image the neurocranium when a pathology is suspected, but the presence of ionizing radiation makes it harder to construct databases of healthy subjects. In this study, instead, we use a dataset of MRI data from healthy normal children in the age range of 6 months to 36 months to study the development of the neurocranium. After extracting its outline from the MRI data, we used a conformal geometry-based analysis pipeline to detect local thickness growth throughout this age span. These changes will help us understand cranial bone development with respect to the brain, as well as detect abnormal variations, which will in turn inform better treatment strategies for implicated disorders.

摘要

颅神经在儿童早期迅速变化,以适应不断发育的大脑。发育障碍和睡眠姿势等环境因素可能导致颅神经成熟异常。因此,了解该结构的发育方式非常重要,以便为早期发现异常提供基线。然而,由于缺乏可用的成像数据库,其解剖结构在儿童早期尚未得到很好的研究。在医院中,当怀疑有病理存在时,通常使用 CT 对颅神经进行成像,但电离辐射的存在使得构建健康受试者数据库变得更加困难。在这项研究中,我们使用了一个年龄在 6 个月至 36 个月之间的健康正常儿童的 MRI 数据集来研究颅神经的发育。从 MRI 数据中提取其轮廓后,我们使用基于保形几何的分析管道来检测整个年龄段的局部厚度增长。这些变化将帮助我们了解颅骨发育与大脑的关系,并检测异常变化,从而为相关疾病提供更好的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b923/7538561/e0f65b31df27/41598_2020_73589_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验