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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Diff5T:使用广泛的5.0特斯拉k空间和空间数据集对人类大脑扩散MRI进行基准测试.

Shanshan Wang1,2, Shoujun Yu3,4, Jian Cheng5

  • 1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. ss.wang@siat.ac.cn.

Scientific data
|August 4, 2025
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概括
此摘要是机器生成的。

介绍Diff5T,一个全面的5.0特斯拉扩散MRI数据集用于人类大脑研究. 这种开放访问资源提供了原始的k空间数据,以推进神经成像方法和大脑映射.

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科学领域:

  • 神经成像是一种神经成像.
  • 人类大脑绘制地图
  • 扩散式核磁共振成像 (MRI)

背景情况:

  • 扩散MRI (dMRI) 对于理解大脑微观结构和连接性至关重要.
  • 具有原始k空间数据的高场,开放式dMRI数据集的有限可用性阻碍了先进的研究.

研究的目的:

  • 介绍Diff5T,这是人类大脑的第一个全面的5.0特斯拉dMRI数据集.
  • 提供原始k空间数据和重建图像,以支持方法开发和基准测试.

主要方法:

  • 获取5.0特斯拉dMRI数据集与多种成像协议.
  • 包括原始k空间数据和重建的扩散图像.
  • 扩散参数的详细描述,包括多个b值和梯度方向.

主要成果:

  • 创建了Diff5T数据集,这对科学界来说是一个宝贵的资源.
  • 该数据集支持对文物校正,图像重建和扩散建模的研究.
  • 方便先进的曲谱学和分析人类大脑的微观结构和连接性.

结论:

  • Diff5T解决了对高质量,开放访问的dMRI数据的需求.
  • 它作为开发和验证新型神经成像技术的基准.
  • 促进神经科学和医学成像研究中的可复制性和协作.