A METHOD TO QUANTIFY THE CORNEAL PARAMETERS TO IMPROVE BIOMECHANICAL MODELING

摘要

The invention relates to a method to quantify human corneal tissue parameters to improve biomechanical modelling of refractive and therapeutic procedures to reduce or eliminate refractive errors and unwanted wavefront aberrations. The analysis of the preoperative biomechanical properties of cornea assists in predicting the postoperative biomechanical response of cornea. The computational models of extreme properties of the corneal tissue are conducted and the 3-D finite element models are populated with tomographic information of the cornea and artificial intelligence is trained to consider the pre-operative characteristics of the corneal tissue. The post-operative refractive procedures are simulated using the said finite element models. Finally, biomechanical deformations are prospectively estimated and method builds a deep learning approach to link clinical features to changes in biochemical outcomes. The method predicts the post-operative biomechanics of the corneal tissue and derives long term postoperative biomechanical response of cornea.