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NMR Spectrometers: Resolution and Error Correction01:14

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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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NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
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Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data.

Georg Oeltzschner1, Helge J Zöllner1, Steve C N Hui1

  • 1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States.

Journal of Neuroscience Methods
|July 1, 2020
PubMed
Summary

Osprey is a new open-source software for magnetic resonance spectroscopy (MRS) data analysis. It integrates pre-processing, modeling, and quantification, offering a standardized approach for researchers.

Keywords:
Linear-combination modellingMagnetic resonance spectroscopyPre-processingQuantificationTissue correction

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Area of Science:

  • Neuroimaging
  • Biophysics
  • Medical Physics

Background:

  • Magnetic resonance spectroscopy (MRS) data analysis lacks standardization, often requiring multiple software packages.
  • Current MRS analysis methods are fragmented and can be difficult to integrate.

Purpose of the Study:

  • To introduce Osprey, a novel, integrated open-source software pipeline for magnetic resonance spectroscopy (MRS) data analysis.
  • To provide a unified platform for MRS data pre-processing, modeling, quantification, and visualization.

Main Methods:

  • Osprey processes various MRS data formats, including coil combination, frequency/phase correction, and Fourier transformation.
  • It employs linear-combination modeling with simulated basis sets and spline baselines.
  • Voxel coregistration with anatomical images allows for tissue correction and accurate quantification.

Main Results:

  • Osprey successfully loads, processes, models, and quantifies MRS data from diverse techniques like PRESS, MEGA-PRESS, and HERMES.
  • The software demonstrated robust performance across multiple datasets from healthy subjects.

Conclusions:

  • Osprey is the first comprehensive MRS software integrating pre-processing, modeling, and quantification.
  • Its open-source nature promotes standardization and allows for easy integration of new methods by the research community.