Corpus ID: 236087934

A new Method for the in vivo identification of material properties of the human eye. Feasibility analysis based on synthetic data

@article{Muench2021ANM,
  title={A new Method for the in vivo identification of material properties of the human eye. Feasibility analysis based on synthetic data},
  author={Stefan Muench and Mike Roellig and Daniel Balzani},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.08208}
}
This paper proposes a new method for in vivo and almost real-time identification of biomechanical properties of the human cornea based on non-contact tonometer data. Further goal is to demonstrate the method’s functionality based on synthetic data serving as reference. For this purpose, a finite element model of the human eye is constructed to synthetically generate displacement full-fields from different datasets with keratoconus-like degradations. Then, a new approach based on the equilibrium… Expand

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