Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography

@article{Tan2016GradientBasedOF,
  title={Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography},
  author={Likun Tan and Matthew D. J. McGarry and Eli E. W. Van Houten and Ming Ji and Ligin Solamen and John B. Weaver and Keith D. Paulsen},
  journal={IEEE Transactions on Medical Imaging},
  year={2016},
  volume={36},
  pages={236-250}
}
We describe an efficient gradient computation for solving inverse problems arising in magnetic resonance elastography (MRE). The algorithm can be considered as a generalized `adjoint method' based on a Lagrangian formulation. One requirement for the classic adjoint method is assurance of the self-adjoint property of the stiffness matrix in the elasticity problem. In this paper, we show this property is no longer a necessary condition in our algorithm, but the computational performance can be as… CONTINUE READING
2 Citations
72 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 72 references

Development of a poroelastic dynamic mechanical analysis technique for biphasic media

  • A. J. Pattison, M. D. McGarry, J. B. Weaver, K. D. Paulsen
  • SPIE Medical Imaging. International Society for…
  • 2013
1 Excerpt

Improvement and evaluation of nonlinear inversion mrelastography

  • M. McGarry
  • PhD Thesis, 2013.
  • 2013
2 Excerpts

Similar Papers

Loading similar papers…