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Unloaded shape identification of human cornea by variational shape optimization

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  • Tomohiro Otani
  • Masao Tanaka

Abstract

The present study proposes a computational method to identify the unloaded corneal shape based on the prescribed surface profile of the cornea acquired from in vivo measurements. Variational shape optimization of the unloaded corneal shape was formulated to satisfy that the corneal shape at the mechanical equilibrium state in the physiological situation corresponded to the prescribed surface profile. The shape variation was calculated using the Lagrange multiplier method with a finite element solution. Numerical solution showed that the optimized corneal shape was in excellent agreement with the prescribed surface profile of the cornea without μm-scale surface irregularities.

Suggested Citation

  • Tomohiro Otani & Masao Tanaka, 2018. "Unloaded shape identification of human cornea by variational shape optimization," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 21(15), pages 795-802, November.
    • Handle: RePEc:taf:gcmbxx:v:21:y:2018:i:15:p:795-802
    DOI: 10.1080/10255842.2018.1521962
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