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Phase-regularized and displacement-regularized compressed sensing for fast magnetic resonance elastography.

Shahed Mohammed1, Piotr Kozlowski2, Septimiu Salcudean1

  • 1Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada.

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Summary

Displacement-regularized compressed sensing (DRCS) enhances liver magnetic resonance elastography (MRE) image quality by applying separate regularization to magnitude and phase. This novel method improves stiffness measurement accuracy in accelerated MRE scans.

Keywords:
compressed sensingdisplacement regularizationliver elastographymagnetic resonance elastographyphase regularization

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Signal Processing

Background:

  • Liver magnetic resonance elastography (MRE) is a noninvasive technique for assessing tissue stiffness.
  • Accelerated MRE techniques like simultaneous multislice (SMS) and compressed sensing (CS) are crucial for reducing scan times but often apply uniform regularization.
  • Existing methods apply a single regularization function to the complex MRE image, potentially overlooking distinct magnitude and phase characteristics.

Purpose of the Study:

  • To design and evaluate novel compressed sensing methods for liver MRE that apply separate regularization to image magnitude and phase.
  • To exploit the distinct spatiotemporal characteristics of MRE magnitude and phase for improved reconstruction quality.
  • To assess the performance of these methods, particularly displacement-regularized compressed sensing (DRCS), in accelerated MRE.

Main Methods:

  • Introduced two compressed sensing methods: phase-regularized compressed sensing (PRCS) and displacement-regularized compressed sensing (DRCS).
  • PRCS uses 2D total variation on magnitude and 2D wavelet regularization on phase.
  • DRCS employs 3D total variation on magnitude and includes a displacement fitting function for wavelet regularization of the displacement phasor, evaluated on in silico, in vitro, and in vivo datasets.

Main Results:

  • DRCS demonstrated superior reconstruction quality compared to conventional CS in highly undersampled in silico and in vitro datasets, showing a 24% and 22% increase in displacement SSIM, respectively.
  • DRCS achieved the strongest correlation (R=0.95) with full-sampled data for liver stiffness measurements, with the second-lowest mean bias (-0.18 kPa) and lowest coefficient of variation (3.6%) at a compression ratio of 4.
  • Quantitative metrics including structural similarity index (SSIM) for magnitude, displacement, and shear modulus confirmed DRCS's improved performance.

Conclusions:

  • Separate regularization of MRE magnitude and phase, particularly with the DRCS method, significantly improves reconstruction quality in accelerated scans.
  • DRCS shows substantial potential for enhancing the accuracy and reliability of liver stiffness measurements obtained from accelerated MRE.
  • The findings suggest DRCS as a promising technique for clinical applications requiring efficient and accurate MRE assessments.