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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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: Sep 16, 2025

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
12:18

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Published on: February 9, 2012

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快速,运动强大的MR弹性图形与分布式,通用编码.

Mary K Kramer1, Alex M Cerjanic2, Curtis L Johnson1

  • 1Department of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.

Magnetic resonance in medicine
|July 10, 2025
PubMed
概括
此摘要是机器生成的。

一种用于MR弹性成像 (MRE) 的新分布式编码技术显著加快了大脑成像,并提高了运动稳定性. 这种方法使得扫描速度更快,结果更可靠,即使主体移动.

关键词:
加速加速加速的加速.脑子 脑子 脑子 大脑编码 编码 编码 编码磁共振弹性图形学 磁共振弹性图形学运动强度 强度 运动强度减少采样减少采样减少

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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

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相关实验视频

Last Updated: Sep 16, 2025

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
12:18

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

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科学领域:

  • 生物医学工程 生物医学工程
  • 医疗成像医学成像
  • 类风病学 类风病学 类风病学

背景情况:

  • 核磁共振弹性图 (MRE) 对于评估组织机械性质至关重要.
  • 由于长时间的扫描和患者的运动,MRE数据质量往往受到损害.
  • 由于特定的运动场估计要求,当前的MRE方法面临挑战.

研究的目的:

  • 开发一种更高效,更灵活的MRE方法.
  • 为了加快MRE的获取和增强强性,以主题运动.
  • 为了提高性能,重新制定运动编码和估计.

主要方法:

  • 实施了一种新的运动编码技术,采用完全分布的采样方向.
  • 使用了优化的编码矩阵,以实现高效的数据收集.
  • 采用优化算法来估计和位移场.
  • 使用模拟和体内脑MRE数据验证了该方法.

主要成果:

  • 实现了显著的加速,使整个大脑3DMRE在1分钟内实现.
  • 与传统的MRE方法相比,保持了平均2%的差异.
  • 证明了对运动的稳定性,在删除高达50%的数据后,声音智能误差<10%.

结论:

  • 分布式编码技术增强了MRE的能力和灵活性.
  • 预期抽样减少和后期体积拒绝可以提高数据质量.
  • 这种方法解决了传统MRE收购的关键局限性.