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Related Concept Videos

NMR Spectroscopy: Chemical Shift Overview01:15

NMR Spectroscopy: Chemical Shift Overview

The position of the absorption signal of a sample is reported relative to the position of the signal of tetramethylsilane (TMS), which is added as an internal reference while recording spectra. The difference between the absorption frequencies of the sample and TMS (in Hz) is divided by the spectrometer operating frequency (in MHz) to obtain a dimensionless quantity called the chemical shift. It is reported on the δ (delta) scale and expressed in parts per million.
For instance, the proton...

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Related Experiment Video

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Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy (NMR) and Microscale Thermophoresis (MST)
10:28

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy (NMR) and Microscale Thermophoresis (MST)

Published on: November 2, 2018

Grid-free interactive and automated data processing for MR chemical shift imaging data.

Yann Le Fur1, François Nicoli, Maxime Guye

  • 1Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR CNRS No 6612, Faculté de Médecine de Marseille, Université de la Méditerranée, 27 Bd Jean Moulin, 13385, Marseille Cedex 5, France. yann.lefur@univmed.fr

Magma (New York, N.Y.)
|January 7, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new, efficient method for chemical shift imaging (CSI) data processing. The technique allows flexible voxel positioning and automated metabolite mapping, offering an attractive alternative to current CSI analysis tools.

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Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Data Analysis

Background:

  • Current chemical shift imaging (CSI) analysis relies on Fourier transforms, limiting interactive voxel selection.
  • Existing methods face challenges with arbitrary voxel positioning in 3D spatial volumes.

Purpose of the Study:

  • To develop a processing-resource-efficient strategy for interactive and automated CSI data processing.
  • To enable grid-free voxel positioning within 3D spatial volumes for CSI analysis.

Main Methods:

  • Utilized real-time voxel-shift via first-order phase manipulation for grid-free positioning.
  • Extracted spectra from 4D data (3D spatial/1D spectral) at selected voxel positions.
  • Implemented automated quantitative and B(0)-insensitive metabolite mapping using AMARES time-domain modeling.

Main Results:

  • Generated metabolite maps (N-acetyl aspartate, choline, creatine) from (1)H-CSI brain data of healthy volunteers and patients.
  • Successfully demonstrated (31)P-3D-CSI of a healthy volunteer's heart.
  • Achieved stable and accurate metabolite mapping across various tested scenarios.

Conclusions:

  • The proposed algorithm offers an attractive alternative to existing CSI processing strategies.
  • The method provides good stability and accuracy for metabolite mapping.
  • This approach enhances flexibility and efficiency in CSI data analysis.