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Magnetic Resonance Imaging

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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相关实验视频

Updated: May 22, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

在体内使用高梯度扩散MRI绘制皮质微观结构图谱,考虑区间间的水交换效应.

Tanxin Dong¹, Hong-Hsi Lee², Han Zang¹

¹Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Interaction, Tianjin, China.

|May 11, 2025

概括

这项研究介绍了使用扩散MRI绘制人类大脑微观结构的体内SANDIX模型. 该模型通过计算水交换来准确测量组织特性,改善神经生物学数据的解释.

关键词:

在Connectome中使用Connectome.皮层皮层皮层扩散式核磁共振成像 (MRI)卡尔格公司的模型.微观结构的微观结构水交换交换交换水

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Published on: December 30, 2015

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Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

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相关实验视频

Last Updated: May 22, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem

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Published on: December 30, 2015

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Published on: November 20, 2015

科学领域:

神经成像是一种神经成像.
生物物理学的生物物理.
医学物理医学物理

背景情况:

扩散MRI对于绘制皮质微观结构至关重要.
现有的索马和神经质密度成像 (SANDI) 模型不考虑水交换,限制了灰质的准确性.
了解水交换对于精确的微观结构性质估计至关重要.

研究的目的:

系统地评估一个扩展的SANDI模型 (in vivo SANDIX),该模型包含水交换效应,用于体内人类皮质的微观结构映射.
评估模型对各种微观结构参数和水交换时间的灵敏度.
在体内扩散MRI数据上验证模型的性能.

主要方法:

开发了体内SANDIX模型,扩展SANDI包括通过Kärger无otropic模型进行水交换.
进行蒙特卡洛模拟,以测试模型对半径,隔间分数和交换时间的灵敏度.
应用了体内SANDIX模型,对13名健康成年人的扩散MRI数据进行了应用,这些MRI数据是用3台特斯拉ConnectomeMRI扫描仪获得的.

主要成果:

在体内SANDIX模型成功考虑了水交换,提供了准确的内索马和内神经细胞信号分数,而无需参数时间依赖.
模拟结果显示了模型的灵敏度,并强调了需要谨慎地解释测量水交换时间的必要性.
在体内应用揭示了灰色和白色物质之间明显的水交换时间,与解剖学特征一致.

结论:

使用高梯度扩散MRI的SANDIX方法,通过评估水交换效应,可以有效地在体内绘制皮质微结构图.
这种先进的模型提供了更准确的描述体内皮质微观结构.
这些发现增强了对未来神经生物学研究的数据解释.