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相关概念视频

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

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

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

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

317
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...
317
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

206
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
206
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

195
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
195
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.1K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.1K
Inverse z-Transform by Partial Fraction Expansion01:20

Inverse z-Transform by Partial Fraction Expansion

331
The inverse z-transform is a crucial technique for converting a function from its z-domain representation back to the time domain. One effective method for finding the inverse z-transform is the Partial Fraction Method, which involves decomposing a function into simpler fractions with distinct coefficients. These fractions correspond to known z-transform pairs, facilitating the inverse transformation process.
To begin the process, the poles of the function are identified and the function is...
331

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相关实验视频

Updated: Jul 2, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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皮德网 (PIDNET):基于极地转换的隐含解网络,用于截断文物.

Guang Li1, Xinhai Huang1, Xinyu Huang1

  • 1School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.

Entropy (Basel, Switzerland)
|February 23, 2024
PubMed
概括

这项研究引入了一种无监督的深度学习方法,用于删除CT成像中的截断工件,克服了数据饥饿的监督模型的局限性. 这种新的方法实现了与监督方法相似的结果,而不需要配对数据.

科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 截断器件在计算机断层扫描 (CT) 成像中是一个重大挑战,扭曲CT值并影响临床诊断.
  • 监督深度学习模型提供解决方案,但需要大量的配对数据,限制其实际使用.
  • 现有的方法很难有效地解决CT的内部问题的不良性质.

研究的目的:

  • 开发一种简单,高效和无监督的方法,用于在CT成像中去除截断器件.
  • 克服监督深度学习模型的数据依赖,以纠正文物.
  • 通过减轻截断工件来提高CT图像分析的准确性和可靠性.

主要方法:

  • 采用了一个基于循环GAN的无监督框架,结合了隐含的解策略.
  • 截断文物特征与内容信息分开,用于作为补充约束.
  • 结合了极性转换和对文物特征的新制约,以改善文物移除.
  • 模拟的配对数据是使用分离的文物特征来训练子网络生成的.

主要成果:

  • 拟议的无监督网络显著超过了传统的循环-GAN模型.
  • 与最先进的监督模型相比,可以实现可比的视觉效果.
关键词:
在CT成像中使用CT成像.脱而出 脱而出 纠而出截断工件 截断工件 截断工件没有监督的模型模型.

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  • 量化评估指标与监督方法的指标紧密结合.
  • 结论:

    • 开发的无监督方法有效地消除了CT成像中的截断工件,而不需要配对数据.
    • 这种方法为监督方法提供了实用和有效的替代方案,扩大了深度学习在CT人工物校正中的适用性.
    • 隐含的解策略和专业约束提高了无监督文物移除技术的性能.