Abstract
Aqueous humor flow plays an important role in maintaining normal metabolism and regulating intraocular pressure in human eyes. In this paper, we used image processing technology to extract the personalized contour of anterior segment optical coherence tomography images and constructed the real geometric model of anterior segment. On this basis, a coupled aqueous humor dynamics model was established using lattice Boltzmann method. The numerical simulations of aqueous humor dynamics of human eyes in different situations, including different position, pupil size, iris surface morphology and anterior chamber angle size were performed, some significant results were obtained. This model can accurately describe the geometric and physical characteristics of human eyes, which is expected to provide theoretical references for the study of personalized aqueous humor dynamics of human eyes.
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