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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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Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

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Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
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相关实验视频

Updated: Jul 13, 2025

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
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Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

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别名: AliasNet:用于加速相位编码MRI的别名文物抑制网络.

Marlon Bran Lorenzana1, Shekhar S Chandra1, Feng Liu1

  • 1School of Electrical Engineering and Computer Science, University of Queensland, Australia.

Magnetic resonance imaging
|October 15, 2023
PubMed
概括
此摘要是机器生成的。

这项研究介绍了AliasNet,这是一种用于磁共振成像 (MRI) 重建的新方法. 阿里亚斯网通过专门解决1D低采样中的别名化工件来提高图像质量,提高MRI扫描效率.

关键词:
艺术品的别名是伪造的.压缩感应感应 压缩感应深度学习是一种深度学习.图像重建 图像重建阶段编码工件的文物

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

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Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

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相关实验视频

Last Updated: Jul 13, 2025

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

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Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
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Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

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科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 信号处理 信号处理

背景情况:

  • 压缩感应 (CS) MRI 缩短了扫描时间,但 1D 低采样创建了结构化别名化工件.
  • 现有的二维规则化方法与这些与方向相关的文物作斗争.
  • 硬件限制有利于在二维CS-MRI中进行1D笛卡尔阶段编码低采样.

研究的目的:

  • 开发新的技术,以改善MRI中的稀疏重建.
  • 为了解决1D低采样文物2D正规化的局限性.
  • 在加速MRI中提高图像质量和重建效率.

主要方法:

  • 开发了两种解技术,用于阶段编码器件的明确1D规则化.
  • 通过利用空间关系,推导出一种结合的1D+2D重建技术.
  • 集成的1D AliasNet模块与现有的2D深度学习 (DL) 恢复方法.

主要成果:

  • 在回顾性低样本的大脑和膝盖MRI数据上显示出更好的图像质量.
  • 与增加2D网络大小相比,AliasNet显示出更高的性能扩展.
  • 拟议的1D + 2D方法与现有的2D DL恢复技术兼容.

结论:

  • AliasNet有效地通过定制网络架构来规范阶段编码低采样中的别名化工件.
  • 1D + 2D重建方法提高了MRI图像质量和重建性能.
  • 这种方法为加速MRI采集提供了兼容且高效的解决方案.