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Updated: Feb 1, 2026

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Echo Particle Image Velocimetry
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复杂的多回声fMRI数据集:处理多回声数据的新策略
Michal Mikl1, Kateřina Ingrová2, Martin Gajdoš2
1CEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic. michal.mikl@ceitec.muni.cz.
Scientific data
|January 30, 2026
概括
现在可以获得一个新的多回声功能磁共振成像 (fMRI) 数据数据集. 本资源支持开发复杂的fMRI数据的先进处理方法.
科学领域:
- 神经成像是一种神经成像.
- 数据科学数据科学数据科学
背景情况:
- 多回声功能磁共振成像 (fMRI) 对数据处理提出了独特的挑战.
- 开发先进的算法对于从复杂的fMRI数据中提取有意义的见解至关重要.
研究的目的:
- 引入一个新的,公开可访问的多回声fMRI数据集.
- 为了促进复杂的多回声fMRI数据的高级处理工作流程的开发和评估.
主要方法:
- 收集了83名健康的右撇子成年人的多回声fMRI和电生理学记录.
- 使用两台3T MR扫描仪获取数据.
- 在OpenNeuro上公开提供数据集.
主要成果:
- 现在可以获得一个包括多回声fMRI和电生理学记录在内的综合数据集.
- 该数据集适用于测试和验证新的fMRI数据处理策略.
结论:
- 这种复杂的多回声fMRI数据集的发布为神经成像社区提供了宝贵的资源.
- 这一数据集将有助于推进多回声fMRI数据分析和处理领域.
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