A coupled CFD-resistive network analogy model to investigate the intraocular pressure in glaucomatous eyes

Ooi Ean Hin, Harjindar Singh Chahl, Norlina Ramli, Amir Samsudin

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    A resistive network analogy (RNA) model that provides a platform for linking the computational fluid dynamics study of aqueous humor (AH) flow to the anatomical/physiological changes associated with glaucoma is proposed. The RNA model is based on an electrical resistor circuit analogy and is formulated around the hydrodynamic funneling model. Results show that the pore density of normal and glaucomatous eyes produced intraocular pressure (IOP) that correspond to healthy and pathologic conditions. IOP also increases exponentially with decreasing pore density, suggesting that the degree of optic nerve damage in glaucoma may increase rapidly during the latter stages of development.
    Original languageEnglish
    Title of host publicationProceedings of the 4th International Conference on Computational & Mathematical Biomedical Engineering (CMBE15)
    EditorsPerumal Nithiarasu, Elisa Budyn
    Place of PublicationSwansea UK
    Pages620 - 623
    Number of pages4
    Publication statusPublished - 2015
    EventInternational Conference on Computational and Mathematical Biomedical Engineering 2015 - Ecole Normale Superieure de Cachan, Cachen, France
    Duration: 29 Jun 20151 Jul 2015
    Conference number: 4th


    ConferenceInternational Conference on Computational and Mathematical Biomedical Engineering 2015
    Abbreviated titleCMBE 2015
    Internet address

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