Noncontact intraocular pressure reading prediction after Laser-assisted in situ Keratomileusis by the finite element method
Article first published online: 12 SEP 2012
Copyright © 2012 John Wiley & Sons, Ltd.
International Journal for Numerical Methods in Biomedical Engineering
Volume 28, Issue 11, pages 1156–1164, November 2012
How to Cite
Ou, C.-J. and Sun, H.-Y. (2012), Noncontact intraocular pressure reading prediction after Laser-assisted in situ Keratomileusis by the finite element method. Int. J. Numer. Meth. Biomed. Engng., 28: 1156–1164. doi: 10.1002/cnm.2513
- Issue published online: 29 OCT 2012
- Article first published online: 12 SEP 2012
- Manuscript Accepted: 19 AUG 2012
- Manuscript Revised: 21 JUN 2012
- Manuscript Received: 21 JUN 2011
- National Science Council of the Republic of China. Grant Numbers: NSC96-2622-E-164-008-CC3, NSC97-2622-E-164-005-CC2, NSC97-2221-E-164-002, NSC98-2622-E-164-003-CC3, NSC100-2221-E-164-001
- Intraocular Pressure;
- Finite Element Method
The finite element method with linear elastic assumption for predicting the intraocular pressure (IOP) readings after reshaping of the corneal structure is demonstrated in the present study. Twelve effective eye measurements in seven subjects were examined using the TOPCON LX-10, a noncontact intraocular pressure measurement technique, before and after laser-assisted in situ Keratomileusis surgery. A linear elastic model was introduced to reduce possible errors from a complicated anisotropic model with uncertain tissue parameters. Linear relationship between the simplified removal depth of laser-assisted in situ Keratomileusis and predicted IOP was expected, and the comparisons between measurements and the predicted model were made. The results indicated that the expected IOP readings are close to the measurement IOP values, while larger errors occur at smaller IOP conditions. In conclusion, the linear elastic finite element approach can already reveal parameters that influence measurement data the most, and the interaction between parameters was higher than we had expected. This helps us to build the confidence on implementing the anisotropic model.Copyright © 2012 John Wiley & Sons, Ltd.