Geometric Modeling of Human Eyes Based on OCT Image of Anterior Segment and Its Application
Keywords:Image processing, OCT images, Geometric modeling.
The aqueous humor flowing in the human eye plays a very important role in maintaining the normal physiological function of the human eye. Once the outflow of aqueous humor is blocked, it will lead to the increase of intraocular pressure, which will lead to glaucoma and other ophthalmic diseases. Therefore, it is of great significance to study the aqueous humor dynamics mechanism of human eyes to explore the physiological structure of human eyes, the pathogenesis and treatment of ophthalmic diseases. In previous studies, most of the geometric models of anterior segment of human eye hydrodynamics are ideal simplified models based on the anatomical data of human eyes, so the simulated results may deviate from the actual situation. In this paper, the OCT image of anterior segment is denoised and segmented by using image processing technology. At the same time, combined with the conventional data of human anatomy, the geometric model of anterior segment is reconstructed, which is closer to the real human eye and has personalized characteristics. On this basis, the flow of aqueous humor in normal eyes was simulated and studied, and the vortex in iris recess was found. The results show that this method can reflect the aqueous humor flow in real eyes more accurately.
Goel M, Picciani R G, Lee R K, et al. Aqueous humor dynamics: a review[J]. The open ophthalmology journal, 2010, 4(1): 52-59.
Barbas-Bernardos C, Armitage E G, García A, et al. Looking into aqueous humor through metabolomics spectacles− exploring its metabolic characteristics in relation to myopia[J]. Journal of pharmaceutical and biomedical analysis, 2016, 127: 18-25.
Tham Y-C, Li X, Wong T Y, et al. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis[J]. Ophthalmology, 2014, 121(11): 2081-2090.
Canning C, Greaney M, Dewynne J, et al. Fluid flow in the anterior chamber of a human eye[J]. Mathematical Medicine and Biology: A Journal of the IMA, 2002, 19(1): 31-60.
Heys J J, Barocas V H. A boussinesq model of natural convection in the human eye and the formation of Krukenberg's spindle[J]. Annals of biomedical engineering, 2002, 30(3): 392-401.
Ooi E-H, Ng E Y-K. Simulation of aqueous humor hydrodynamics in human eye heattransfer[J]. Computers in biology and medicine, 2008, 38(2): 252-262.
Karampatzakis A, Samaras T. Numerical model of heat transfer in the human eye withconsideration of fluid dynamics of the aqueous humour[J]. Physics in Medicine & Biology, 2010, 55(19): 5653-5665.
Xu L, Cao W F, Wang Y X, et al. Anterior chamber depth and chamber angle and their associations with ocular and general parameters: the Beijing Eye Study[J]. American journal of ophthalmology, 2008, 145(5): 929-936. e921.
Chen Y. A Lattice Boltzmann Method Based Medical Image Denoising and Enhancement[C]. 2009 2nd International Congress on Image and Signal Processing. IEEE: 1-4.
Chen Y, Yan Z, Shi J. Application of lattice Boltzmann method to image segmentation[C]. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE: 6561-6564.
How to Cite
This work is licensed under a Creative Commons Attribution 4.0 International License.