Biomechanics of the Healthy and Keratoconic Corneas: A Combination of the Clinical Data, Finite Element Analysis, and Artificial Neural Network.

Journal: Current pharmaceutical design
Published Date: Jan 1, 2018

Abstract

BACKGROUND: Keratoconus is recognized by asymmetrical thinning and bulging of the cornea, resulting in distortion in the surface of the cornea. Keratoconus also alters the biomechanical properties of the cornea, which can be an indicator of the healthy and keratoconus eyes. This study was aimed at employing a combination of clinical data, finite element method (FEM), and artificial neural network (ANN) to establish a novel biomechanical- based diagnostic method for the keratoconus eyes.

Authors

  • Alireza Karimi
    Department of Mechanical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.
  • Najme Meimani
    Basir Eye Health Research Center, Tehran, Iran.
  • Reza Razaghi
    Basir Eye Health Research Center, Tehran, Iran.
  • Seyed Mohammadali Rahmati
    Department of Biomedical Engineering, Amirkabir University of Technology, Tehran 15875, Iran.
  • Khosrow Jadidi
    Vision Health Research Center, Tehran, Iran.
  • Mostafa Rostami
    Department of Biomedical Engineering, Amirkabir University of Technology, Tehran 15875, Iran.

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