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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.0K
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...
5.0K
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

679
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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相关实验视频

Updated: Jun 13, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

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基于学习的自由水校正使用单扩散MRI.

Tianyuan Yao1, Derek B Archer2, Praitayini Kanakaraj1

  • 1Department of Computer Science, Vanderbilt University, Nashville, TN, USA.

Proceedings of SPIE--the International Society for Optical Engineering
|September 16, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种深度学习方法,用于纠正扩散MRI中的自由水效应. 这提高了大脑微观结构和连接分析的准确性,特别是在单扩散加权成像数据中.

关键词:
深度学习是一种深度学习.扩散式核磁共振成像 (MRI)免费的水消除免费的水消除.可复制性 可复制性

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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相关实验视频

Last Updated: Jun 13, 2025

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

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Diffusion Imaging in the Rat Cervical Spinal Cord
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Diffusion Imaging in the Rat Cervical Spinal Cord

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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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
  • 机器学习 机器学习

背景情况:

  • 扩散MRI (dMRI) 评估大脑的微观结构和连接性.
  • 在大脑脊髓液偏差dMRI分析中,自由水的部分体积效应.
  • 现有的模式在单收购方面扎,需要规范化.

研究的目的:

  • 开发一种新的深度学习方法,用于绘制和纠正dMRI中自由水部分体积污染.
  • 提高扩散权重成像 (DWI) 分析的准确性和可靠性.

主要方法:

  • 开发了一种基于voxel的深度学习方法,以推断和纠正自由水体积.
  • 该方法是为各种dMRI采集方案设计的,包括单数据.
  • 利用数据驱动的技术进行了可靠的估计.

主要成果:

  • 与以前的方法相比,拟议的方法证明了一致和可信的结果.
  • 实现了有效的缓解自由水部分体积效应.
  • 在单dMRI的DWI分析中提高了准确性和可靠性.

结论:

  • 新的深度学习方法成功地在dMRI中纠正了自由水的污染.
  • 这种方法扩大了单dMRI用于大脑微观结构和连接性评估的临床实用性.