Gradient magnetic field signal phase-frequency coding modification for data regularization in magnetic resonance imaging

Authors

  • Andrii V. Netreba Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
  • Oleg A. Naguliak Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
  • Andrii O. Komarov Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

DOI:

https://doi.org/10.3103/S0735272721060017

Keywords:

magnetic resonance imaging, MRI, nuclear magnetic resonance, NMR, gradient K-space of magnetic field, reconstruction, superresolution

Abstract

The reconstruction of tomograms in magnetic resonance imaging (MRI) has been considered for different degrees of transverse gradient instability of magnetic field. A method for minimizing the impact of deviation of resultant points of signal measurements from regular positions on the quality of reconstructed tomograms was proposed. The ultimate values of parameters of field gradient instability with due regard for the possibility of their compensation were determined in processing of real tomographic images. A series of multiple procedures for generating signals under conditions of different spread of magnetic field components and subsequent reconstruction was conducted for estimating the impact of instability on the accuracy of final results. It has been shown that the building and joint analysis of several tomographic distributions for different angles of orientation of magnetic gradient system for the transverse phase-frequency coding of response signal improves the structure of diagnostic data. In solving the inverse problem of restoring the spin distributions, the compensation of distortions caused by the irregularity of grid for forming data through combining an array of measurements performed under different conditions was obtained. The estimation of qualitative parameters of reconstruction of two-dimensional tomographic high-resolution distributions was conducted for the case of measuring the response signal for two and three orientations of its transverse coding.

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Increased dimension based on combined tomograms

Published

2021-06-30

Issue

Section

Research Articles