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Quantitative analysis of vibration waves based on Fourier transform in magnetic resonance elastography.

Ikuho KosakaYuki KanazawaKotaro BabaHiroaki HayashiMasafumi Harada
Published in: Radiological physics and technology (2020)
We developed a novel magnetic resonance elastography (MRE) analysis method based on Fourier transform to assess the responsive characteristics for different tissue stiffness and degree of transmission of the vibration wave emanating from a passive driver during MRE. A phantom tissue study was conducted with an MRE sequence and vibration wave system using a clinical MR scanner. The phantom tissue consisted of two layers of agar: 0.75 wt% and 1.0 wt%. Phase-unwrapped images derived from acquired MRE phase images were used to generate a phase profile curve, with a line plotted for the phase-unwrapped images. Fourier transform was performed, and the peak value of the power spectrum was derived. The damping rate/ratio was calculated using the Hilbert transform of the phase profile. We found that the mean shear stiffness value of 1.0 wt% agar was higher than that of 0.75 wt% agar. The responsive frequency of the 0.75 wt% agar layer showed a wider range and the damping rate of the signal showed a higher value than the respective values of the 1.0 wt% agar layer. In conclusion, Fourier transform analysis of MRE enabled us to obtain more detailed information of the tissue characteristics and vibration-wave conditions.
Keyphrases
  • magnetic resonance
  • high frequency
  • deep learning
  • convolutional neural network
  • optical coherence tomography
  • contrast enhanced
  • image quality
  • healthcare
  • magnetic resonance imaging
  • drug delivery