在人类新生儿的磁共振成像数据中细分下丘脑子单元
Jerod M Rasmussen1,2, Yun Wang3,4, Alice M Graham5
1Development, Health and Disease Research Program, University of California, Irvine, California, USA.
Human brain mapping
|February 10, 2024
概括
一个新的自动化MRI细分工具segATLAS准确地绘制了新生儿的下丘脑. 这一经验证的管道使得对早期大脑发育及其对终身健康的影响进行关键研究成为可能.
科学领域:
- 神经成像是一种神经成像.
- 发育神经科学的发展神经科学.
- 医学图像分析 医学图像分析
背景情况:
- 新生儿下丘脑结构的个体间变化与子宫内环境和未来疾病风险有关.
- 目前用于新生儿下丘脑自动细分的方法有限,阻碍了科学进步.
研究的目的:
- 开发和验证一种基于注册的新型管道 (segATLAS),用于新生儿下丘脑及其子单元的自动细分.
- 将segATLAS的性能与现有的以成人为中心的工具 (segFS) 和手动细分 (segMAN) 进行比较.
主要方法:
- 利用T1-/T2加权的MRI数据来自4个地点的215名健康的满期婴儿.
- 将segATLAS和segFS输出与segMAN进行比较,使用子相似系数 (DSC).
- 评估了与月经后年龄的相关性,并在生命的第一年测试了体积稳定性.
主要成果:
- 与segFS相比,SegATLAS与手动细分 (整个下丘脑DSC:0.89;亚单元DSC:0.80) 的一致性更高 (整个下丘脑DSC:0.68;亚单元DSC:0.40).
- SegATLAS体积与月经后年龄的相关性比segFS (R2=40%) 强 (R2=65%).
- SegATLAS的数量从诞生到一年保持稳定,而segFS的数量则不同.
结论:
- SegATLAS是一个经过验证的,公开可用的工具,用于从MRI数据中对新生儿下丘脑及其子单元进行细分.
- 这个管道解决了神经成像研究中的一个关键缺口,促进了对早期大脑发育和健康的研究.
- 该工具有望刺激对下丘脑在早期健康和疾病轨迹中的作用的研究.
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