人类大脑MRI数据,用于数据集成模拟的72小时内内注射的追踪器演变
Jørgen N Riseth1,2, Timo Koch1,2,3, Sofie Lysholm Lian4
1Scientific Computing and Numerical Analysis (SCAN), Simula Research Laboratory, Oslo, Norway.
Scientific data
|January 20, 2026
概括
冈佐数据集提供脑部MRI扫描和衍生数据,追踪注射后大脑中的对比剂. 这种宝贵的资源有助于研究痕迹传输和脑液动态.
科学领域:
- 神经成像是一种神经成像.
- 生物医学工程 生物医学工程
- 药理动力学 药理动力学
背景情况:
- 了解大脑中的标记物分布对于药物输送和疾病研究至关重要.
- 大脑脊髓液 (CSF) 动态在大脑平衡和废物清除中发挥着重要作用.
研究的目的:
- 为了呈现Gonzo数据集,一个全面的脑MRI数据收集与处理的衍生品.
- 促进对大脑和脑脊液中的标记物运输机制的研究.
主要方法:
- 获得高分辨率的脑部MRI扫描,在注射内加多布托罗尔注射前至72小时后进行.
- 生成衍生数据集,包括T1地图,追踪器度地图,扩散张力图和大脑几何网格.
- 图像细分用于大脑区域的识别和区域统计分析的痕迹剂度.
主要成果:
- 在CSF和大脑结构中,对比剂gadobutrol的详细时空演变.
- 为数值模拟提供定量数据 (T1地图,度地图).
- 细分面具,使得特定区域的分析可追踪器的分布.
结论:
- 冈佐数据集为研究大脑中的标记物运输提供了一个独特的资源.
- 实现神经成像分析方法和脑液运输模拟的进步.
- 支持神经科学,医学成像和计算建模方面的跨学科研究.
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