Error propagation model for microscopic magnetic resonance elastography shear-wave images

Shadi F. Othman, Xiaohong Joe Zhou, Huihui Xu, Thomas J. Royston, Richard L. Magin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Microscopic magnetic resonance elastography is a high-resolution method for visualizing shear waves and assessing the biomechanical viscoelastic properties of small biological samples. In this work, we used error propagation to develop a simple analytical model that relates the signal-to-noise ratio of MR magnitude images to the variance in shear-wave maps collected using gradient-echo and spin-echo phase-contrast pulse sequences. Our model predicts results for shear-wave images in phantoms, which match the experimentally observed phase variance within 8%. This model can be used to optimize MR pulse sequences for elastography studies, as well as other phase-difference techniques in MRI.

Original languageEnglish (US)
Pages (from-to)94-100
Number of pages7
JournalMagnetic Resonance Imaging
Volume25
Issue number1
DOIs
StatePublished - Jan 2007

Keywords

  • Elastography
  • Error propagation model
  • Microscopic magnetic resonance elastography
  • Phase variance
  • Shear wave

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Error propagation model for microscopic magnetic resonance elastography shear-wave images'. Together they form a unique fingerprint.

Cite this