We consider the inverse problem of finding unknown elastic parameters from internal measurements of displacement fields for tissues. In the sequel to Ammari, Waters, Zhang (2015), we use pseudodifferential methods for the problem of recovering the shear modulus for Stokes systems from internal data. We prove stability estimates in d=2,3 with reduced regularity on the estimates and show that the presence of a finite dimensional kernel can be removed. This implies the convergence of the Landweber numerical iteration scheme. We also show that these hypotheses are natural for experimental use in constructing shear modulus distributions.
- Stability analysis
- Shear modulus reconstruction
- Magnetic resonance elastography
- Landweber scheme
- Biological tissues
- Optimal control
Gimperlein, H., & Waters, A. (2016). Stability analysis in magnetic resonance elastography II. Journal of Mathematical Analysis and Applications, 434(2), 1801-1812. https://doi.org/10.1016/j.jmaa.2015.10.010