title: Error propagation model for microscopic magnetic resonance elastography shear-wave images.
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.
authors.affiliation: Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607-7052, USA. sothma1@uic.edu
authors.forename: Shadi F
authors.initials: SF
authors.lastname: Othman
authors.forename: Xiaohong Joe
authors.initials: XJ
authors.lastname: Zhou
authors.forename: Huihui
authors.initials: H
authors.lastname: Xu
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Royston
authors.forename: Richard L
authors.initials: RL
authors.lastname: Magin
mesh_terms: D001696:Biomechanical Phenomena; D004548:Elasticity; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000706:statistics & numerical data; D015233:Models, Statistical; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D014783:Viscosity