Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

950
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
950

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

3DFE-Net: Three-dimensional fusion enhancement network based on multi-attention mechanism for multi-modal magnetic resonance images.

Medical & biological engineering & computing·2026
Same author

A deep learning-based MRI automatic detection model for spinal schwannoma and meningioma.

Medical & biological engineering & computing·2025
Same author

MRI classification and discrimination of spinal schwannoma and meningioma based on deep learning.

Journal of X-ray science and technology·2025
Same author

Superficial white matter microstructural imaging method based on time-space fractional-order diffusion.

Physics in medicine and biology·2024
Same author

Q-space imaging based on Gaussian radial basis function with Laplace regularization.

Magnetic resonance in medicine·2024
Same author

Brain fiber structure estimation based on principal component analysis and RINLM filter.

Medical & biological engineering & computing·2023

相关实验视频

Updated: May 12, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.1K

基于补丁匹配与更高阶的奇点值分解的扩散加权图像脱光的新方法.

Liming Yang1, Yuanjun Wang1

  • 1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.

Journal of X-ray science and technology
|May 9, 2025
PubMed
概括

这项研究引入了扩散权重成像 (DWI) 的先进无色化方法,以增强大脑微观结构分析. 该技术有效地减少噪音,提高扩散模型的准确性和整体脑科学研究.

科学领域:

  • 神经成像是一种神经成像.
  • 医学图像分析 医学图像分析
  • 计算神经科学是一种神经科学.

背景情况:

  • 扩散加权成像 (DWI) 对于研究大脑微观结构至关重要.
  • 在DWI图像中的低信号噪声比 (SNR) 妨碍了准确的扩散分析.
  • 有效的降噪对于可靠的脑科学研究至关重要.

研究的目的:

  • 开发一种先进的酒后驾驶指责技术.
  • 提高扩散模型配件和分析的准确性和可靠性.
  • 通过提高图像质量,促进脑科学研究.

主要方法:

  • 提出了一种结合补丁匹配与更高阶奇数值分解 (HOSVD) 的新型无色化方法.
  • 整合了一个变异稳定转换技术.
  • 使用非本地平均算法进行预过,然后使用本地HOSVD.

主要成果:

  • 在DWI数据集中显著减少空间不变和变异噪声.
  • 与现有方法相比,在扩散分析中证明了更高的准确性.
  • 在模拟,HCP和体内大脑DWI数据上验证的性能.

结论:

关键词:
扩散张力成像 扩散张力成像扩散权重成像技术的使用.更高阶的单数值分解.图像去色化 图像去色化非本地意味着非本地.

更多相关视频

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

11.6K
Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

8.6K

相关实验视频

Last Updated: May 12, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.1K
Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

11.6K
Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

8.6K
  • 拟议的方法在酒后驾驶指控中实现了最先进的性能.
  • 成功提高图像质量,以实现更可靠的扩散分析.
  • 能够在脑科学中进行更准确,更可靠的研究.