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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/6205

Title: Intraocular pressure estimation using proper orthogonal decomposition
Authors: Botha, N
Kok, S
Inglis, HM
Keywords: Intraocular pressure
Glaucoma
Cornea
Proper orthogonal decomposition
Anisotropic material
Issue Date: Jul-2012
Citation: Botha, N, Kok, S and Inglis, HM. Intraocular pressure estimation using proper orthogonal decomposition. 10th World Congress on Computational Mechanics (WCCM 2012), Sao Paulo, Brazil, 8-13 July 2012
Series/Report no.: Workflow;9322
Abstract: Glaucoma is the second leading cause of irreversible blindness. The primary indicator for glaucoma is an elevated intraocular pressure, which is estimated by means of contact or non-contact tonometry. However, these techniques do not accurately account for the cornea properties that deviate from the norm, thus leading to the inaccurate estimation of the intraocular pressure. This work builds on a previous study, in which a combination of an artificial neural network and a genetic algorithm was used to estimate the intraocular pressure and cornea properties. This paper proposes to use proper orthogonal decomposition to accurately estimate the intraocular pressure independent of the cornea properties. The results indicate that proper orthogonal decomposition is able to estimate the intraocular pressure, and that the cornea properties have a slight influence on the estimation. For thicker corneas, however, the intraocular pressure prediction is influenced. This study concluded that this deterministic technique avoids the ambiguity that could result from a method relying on a stochastic optimization routine.
Description: 10th World Congress on Computational Mechanics (WCCM 2012), Sao Paulo, Brazil, 8-13 July 2012
URI: http://hdl.handle.net/10204/6205
ISBN: 9788586686702
Appears in Collections:Advanced mathematical modelling and simulation
General science, engineering & technology

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