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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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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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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
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Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

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The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
693
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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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

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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扩散加权MR光谱学:共识,建议和资源从采集到建模.

Clémence Ligneul1, Chloé Najac2, André Döring3,4

  • 1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Magnetic resonance in medicine
|November 10, 2023
PubMed
概括

扩散权重磁共振光谱 (dMRS) 提供了对大脑细胞结构的洞察力,但面临技术挑战. 本文概述了强大的dMRS研究的最佳实践和工具,帮助神经退行性疾病研究.

关键词:
收购 收购 收购 收购dMRSRS 是一个很好的方法.适合的配件 适合的配件模拟建模的模型.处理 处理 处理 处理

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科学领域:

  • 神经科学是一个神经科学.
  • 生物物理学的生物物理.
  • 医疗成像医学成像

背景情况:

  • 大脑细胞的结构和功能是神经发育,可塑性,衰老和神经退行和神经炎症等病理过程的关键指标.
  • 评估细胞结构特征的非侵入性定量方法对于推进大脑研究至关重要.
  • 扩散权重磁共振光谱 (dMRS) 提供了细胞内大脑代谢物的扩散特性,提供细胞特异性信息.

研究的目的:

  • 解决扩散权重磁共振光谱 (dMRS) 数据采集,分析,量化,建模和解释方面的挑战.
  • 制定一套推,进行可靠的dMRS研究.
  • 为dMRS社区提供全面的指南和资源.

主要方法:

  • 这篇论文巩固了洛伦茨中心关于"扩散MR光谱的最佳实践和工具"研讨会的建议.
  • 它详细介绍了获取,处理,安装和建模dMRS数据所需的步骤.
  • 提供了对dMRS从业者有价值的资源的链接.

主要成果:

  • 该dMRS社区已经建立了基于共识的最佳实践建议.
  • 介绍了dMRS数据处理的结构化方法,从获取到解释.
  • 这篇论文是为旨在提高dMRS研究稳定性的研究人员提供实用指南.

结论:

  • 标准化最佳实践对于克服dMRS的技术挑战至关重要.
  • 实施这些建议将提高dMRS研究的可靠性和可重复性.
  • 这项工作促进了dMRS在理解大脑健康和疾病方面的更广泛应用.